Files

HaHafeng 1b53ab9d52 feat(aia): Complete AIA V2.0 with universal streaming capabilities

Major Changes:
- Add StreamingService with OpenAI Compatible format
- Upgrade Chat component V2 with Ant Design X integration
- Implement AIA module with 12 intelligent agents
- Update API routes to unified /api/v1 prefix
- Update system documentation

Backend (~1300 lines):
- common/streaming: OpenAI Compatible adapter
- modules/aia: 12 agents, conversation service, streaming integration
- Update route versions (RVW, PKB to v1)

Frontend (~3500 lines):
- modules/aia: AgentHub + ChatWorkspace (100% prototype restoration)
- shared/Chat: AIStreamChat, ThinkingBlock, useAIStream Hook
- Update API endpoints to v1

Documentation:
- AIA module status guide
- Universal capabilities catalog
- System overview updates
- All module documentation sync

Tested: Stream response verified, authentication working
Status: AIA V2.0 core completed (85%)

2026-01-14 19:15:01 +08:00

42 KiB

Raw Blame History

蜈ｨ譁<EFBFBD>､咲ｭ幄ｴｨ驥丈ｿ晞囿荳主庄霑ｽ貅ｯ遲也払

*譁<EFBFBD>｡｣迚域悽<EFBFBD>? V1.0
*蛻帛ｻｺ譌･譛滂ｼ? 2025-11-22
*騾ら畑讓｡蝮暦ｼ? AI 譎ｺ閭ｽ譁<EFBDBD>鍵 - 蜈ｨ譁<EFBDA8>､咲ｭ<E592B2>
*逶ｮ譬<EFBFBD>ｼ? 蛻<>亳谿ｵ謠仙合蜈ｨ譁<EFBDA8>､咲ｭ帷噪蜃<E599AA>｡ｮ邇<EFBDAE>∵婿豕募ｭｦ雍ｨ驥丞愛譁ｭ蜥悟ｮ梧紛蜿ｯ霑ｽ貅ｯ諤?

<EFBFBD>搭譁<>｡｣讎りｿｰ

譛ｬ譁<EFBFBD>｡｣螳壻ｹ我ｺ<EFBFBD>**蜈ｨ譁<EFBDA8>､咲ｭ帶ｨ｡蝮<EFBDA1>**蝨?MVP 竊?V1.0 竊?V2.0 荳我ｸｪ髦ｶ谿ｵ逧<EFBDB5>ｴｨ驥丈ｿ晞囿遲也払縲?

蜈ｨ譁<EFBFBD>､咲ｭ<EFBFBD> vs 譬<>｢俶遭隕∝<E99A95>遲幢ｼ壽<EFBDBC>ｸ蠢<EFBDB8>ｷｮ蠑?

扈ｴ蠎ｦ	譬<EFBFBD>｢俶遭隕∝<EFBFBD>遲<EFBFBD>	蜈ｨ譁<EFBFBD>､咲ｭ<EFBFBD>	遲也払蟾ｮ蠑<EFBFBD>
*菫｡諱ｯ驥?	200-500蟄?	5,000-20,000蟄?	<EFBFBD>閥髴蛻<C280>ｮｵ螟<EFBDB5>炊
蛻､譁ｭ萓晄紺	PICOS蛹ｹ驟榊ｺ?	12蟄玲ｮｵ譁ｹ豕募ｭｦ雍ｨ驥?	<EFBFBD>閥髴荳謎ｸ壼愛譁ｭ譬<EFBDAD>㊥
*蜀ｳ遲門､肴揩蠎?	菴?譏?蜷?	鬮?12荳ｪ蟄玲ｮｵﾃ?郤?	<EFBFBD>閥髴扈捺桷蛹匁署蜿?
螳ｹ髞咏ｭ也払	螳<EFBFBD>漠蜍ｿ貍<EFBFBD>	荳崎<EFBFBD>貍丞<EFBFBD>髞ｮ菫｡諱?	<EFBFBD>閥髴鬪瑚ｯ∵惻蛻ｶ
Token謌先悽	ﾂ･0.005/遽?	ﾂ･0.05-0.20/遽?	<EFBFBD>閥髴謌先悽莨伜喧
*蜿ｯ霑ｽ貅ｯ諤?	蠑慕畑鞫倩ｦ<EFBFBD>	蜈ｷ菴馴｡ｵ遐<EFBFBD>/谿ｵ關ｽ/陦ｨ譬ｼ	<EFBFBD>閥髴隸∵紺體?

譬ｸ蠢<EFBFBD>ｮｾ隶｡蜴溷<EFBFBD>

蜴溷<EFBFBD>	隸ｴ譏<EFBFBD>
蠕ｪ隸∝現蟄ｦ譬<EFBFBD>㊥	蝓ｺ莠擦ochrane RoB 2.0蟾･蜈ｷ逧<EFBFBD>婿豕募ｭｦ雍ｨ驥剰ｯ<EFBFBD>ｼｰ譬<EFBFBD>㊥
*扈捺桷蛹匁署蜿?	Nougat + 蛻<>ｮｵ謠仙叙 + 蜈ｨ譁<EFBDA8>ｪ瑚ｯ<E7919A>ｼ碁∩蜈?Lost in the Middle"
*螳梧紛隸∵紺體?	豈丈ｸｪ蟄玲ｮｵ蠑ｺ蛻ｶ隕∵ｱょ次譁<EFBFBD>ｼ慕畑<EFBFBD>磯｡ｵ遐√∵ｮｵ關ｽ縲∬｡ｨ譬ｼ<EFBFBD><EFBFBD>
蛻<EFBFBD>ｭ･螳樊命	MVP蜈磯ｪ瑚ｯ∝庄陦梧ｧ<EFBFBD>祁1.0謠仙合雍ｨ驥擾ｼ祁2.0霎ｾ蛻ｰ蛹ｻ蟄ｦ郤ｧ譬<EFBFBD><EFBFBD>?
*謌先悽荳手ｴｨ驥丞ｹｳ陦?	MVP逕ｨ謌先悽蜿句･ｽ讓｡蝙具ｼ悟<EFBFBD>髞ｮ蟄玲ｮｵ逕ｨ鬮倡ｫｯ讓｡蝙矩ｪ瑚ｯ?

<EFBFBD>識荳蛾亳谿ｵ霍ｯ郤ｿ蝗ｾ

MVP (3蜻?              V1.0 (5蜻?            V2.0 (8蜻?
笏懌楳 Nougat扈捺桷蛹匁署蜿?   笏懌楳 Cochrane譬<65>㊥Prompt  笏懌楳 荳画ｨ｡蝙倶ｻｲ陬?
笏懌楳 12蟄玲ｮｵ蛻<EFBDB5>ｮｵ謠仙叙      笏懌楳 Few-shot蛹ｻ蟄ｦ譯井ｾ句ｺ? 笏懌楳 蛹ｻ蟄ｦ騾ｻ霎題ｧ<E9A18C><EFBDA7>蠑墓梼
笏懌楳 蜿梧ｨ｡蝙矩ｪ瑚ｯ?         笏懌楳 螳梧紛隸∵紺體?         笏懌楳 閾ｪ蜉ｨ雍ｨ驥丞ｮ｡隶｡
笏懌楳 蟄玲ｮｵ郤ｧ蜀ｲ遯∵｣豬?     笏懌楳 蜈ｨ譁<EFBDA8>ｺ､蜿蛾ｪ瑚ｯ<E7919A>        笏懌楳 HITL譎ｺ閭ｽ蛻<EFBDBD>ｵ<EFBFBD>
笏披楳 蝓ｺ遑蜿ｯ霑ｽ貅?         笏披楳 蛻<>ｺｧ莠ｺ蟾･螟肴<E89E9F>ｸ        笏披楳 螳｡隶｡郤ｧ譌･蠢?
   竊?                     竊?                   竊?
  蜃<>｡ｮ邇?竕?85%           蜃<>｡ｮ邇?竕?92%          蜃<>｡ｮ邇?竕?96%

<EFBFBD>噫 MVP 髦ｶ谿ｵ<E8B0BF>? 蜻ｨ<E89CBB><EFBDA8>

逶ｮ譬<EFBFBD>ｮ壻ｽ<EFBFBD>

**蜃<>｡ｮ邇<EFBDAE>岼譬?*<2A>壺翁 85%
**菫｡諱ｯ螳梧紛邇?*<2A>壺翁 90%<25>?2蟄玲ｮｵ荳埼＠貍擾ｼ<E693BE>
謌先悽鬚<EFBFBD>ｮ<EFBFBD><EFBFBD>壺王ﾂ･0.05/遽<>ｼ<EFBFBD>eepSeek-V3 + Qwen3-Max<61>?
莠､莉俶<EFBFBD><EFBFBD>㊥<EFBFBD>壼渕遑蜉溯<EFBFBD>蜿ｯ逕ｨ<EFBFBD>梧髪謖∫ｻ捺桷蛹匁署蜿門柱蜿梧ｨ｡蝙矩ｪ瑚ｯ<EFBFBD>

荳縲∵<EFBFBD>ｸ蠢<EFBFBD>橿譛ｯ遲也<EFBFBD>?

1.1 笨?Nougat扈捺桷蛹匁署蜿厄ｼ亥<EFBDBC>髞ｮ莨伜漢<E4BC9C>?

荳ｺ莉荵磯画叫Nougat<EFBFBD>?

蟇ｹ豈皮ｻｴ蠎ｦ	PyMuPDF	Nougat
霎灘<EFBFBD>譬ｼ蠑<EFBFBD>	郤ｯ譁<EFBFBD><EFBFBD>?	Markdown扈捺桷蛹?
遶<EFBFBD>闃りｯ<EFBFBD>悪	髴LLM莠梧ｬ｡隸<EFBFBD>悪<EFBFBD>?0%蜃<>｡ｮ邇<EFBDAE>ｼ<EFBFBD>	螟ｩ辟ｶ菫晉蕗扈捺桷<EFBFBD>?5%蜃<>｡ｮ邇<EFBDAE>ｼ俄<EFBDBC>?
陦ｨ譬ｼ螟<EFBFBD>炊	譁<EFBFBD>悽荵ｱ遐<EFBFBD>	Markdown陦ｨ譬ｼ笨?
蜈ｬ蠑剰ｯ<EFBFBD>悪	荵ｱ遐<EFBFBD>	LaTeX譬ｼ蠑<EFBFBD> 笨?
騾ら畑蝨ｺ譎ｯ	荳ｭ譁<EFBFBD>ｮｺ譁<EFBFBD>	闍ｱ譁<EFBFBD>ｭｦ譛ｯ隶ｺ譁<EFBFBD> 笨?

螳樊命譁ｹ譯<EFBFBD><EFBFBD>?

// 豺ｷ蜷育ｭ也払<E4B99F>哢ougat莨伜<E88EA8><E4BC9C>訓yMuPDF髯咲ｺｧ
async function extractFullText(pdfBuffer: Buffer, filename: string) {
  // Step 1: 譽豬玖ｯｭ險
  const language = await detectLanguage(pdfBuffer);
  
  // Step 2: 闍ｱ譁<EFBDB1>ｮｺ譁<EFBDBA>ｼ伜<EFBDBC>逕ｨNougat
  if (language === 'english') {
    try {
      const nougatResult = await extractionClient.extractPdf(
        pdfBuffer, filename, 'nougat'
      );
      
      if (nougatResult.quality > 0.8) {
        return {
          method: 'nougat',
          text: nougatResult.text,
          format: 'markdown',
          structured: true  // 箝?蜈ｳ髞ｮ莨伜漢
        };
      }
    } catch (error) {
      console.warn('Nougat螟ｱ雍･<E99B8D>碁剄郤ｧ蛻ｰPyMuPDF');
    }
  }
  
  // Step 3: 荳ｭ譁<EFBDAD>ｮｺ譁<EFBDBA><E8AD81>Nougat螟ｱ雍･<E99B8D>檎畑PyMuPDF
  const pymupdfResult = await extractionClient.extractPdf(
    pdfBuffer, filename, 'pymupdf'
  );
  
  return {
    method: 'pymupdf',
    text: pymupdfResult.text,
    format: 'plaintext',
    structured: false  // 髴隕´LM隸<4D>悪扈捺桷
  };
}

1.2 笨?12蟄玲ｮｵ蛻<EFBDB5>ｮｵ謠仙叙<E4BB99>磯∩蜈広ost in the Middle<6C>?

譬ｸ蠢<EFBFBD>琉鬚<EFBFBD><EFBFBD>壼<EFBFBD>譁?0K tokens荳谺｡諤ｧ蝟らｻ儉LM<4C>御ｸｭ髣ｴ遶<EFBDB4>闃ゆｿ｡諱ｯ驕玲ｼ冗紫鬮倩ｾｾ33%

隗｣蜀ｳ譁ｹ譯<EFBFBD><EFBFBD>壽潔蟄玲ｮｵ螳壼髄謠仙叙逶ｸ蜈ｳ遶<EFBFBD>闃<EFBFBD>

// 12蟄玲ｮｵ謠仙叙霍ｯ逕ｱ陦?
const FIELD_EXTRACTION_ROUTES = {
  '遐皮ｩｶ隶ｾ隶｡': {
    sections: ['abstract', 'methods'],
    maxTokens: 3000,
    priority: 'high'
  },
  '遐皮ｩｶ莠ｺ鄒､': {
    sections: ['methods', 'results'],
    maxTokens: 3500,
    priority: 'high',
    lookForTables: true  // Table 1: Baseline
  },
  '蟷ｲ鬚<EFBDB2>蒔譁ｽ': {
    sections: ['methods', 'results'],
    maxTokens: 3000,
    priority: 'high'
  },
  '蟇ｹ辣ｧ謗ｪ譁ｽ': {
    sections: ['methods', 'results'],
    maxTokens: 2500,
    priority: 'high'
  },
  '扈灘ｱ謖<C280><E8AC96><EFBFBD>': {
    sections: ['methods', 'results'],
    maxTokens: 4000,
    priority: 'high',
    lookForTables: true  // Results tables
  },
  '髫乗惻蛹匁婿豕?: {
    sections: ['methods', 'figures'],
    maxTokens: 2500,
    priority: 'critical',  // 蜈ｳ髞ｮ蟄玲ｮｵ
    keywords: ['randomization', 'allocation', 'sequence', 'CONSORT']
  },
  '逶ｲ豕<EFBFBD>': {
    sections: ['methods'],
    maxTokens: 2000,
    priority: 'critical'
  },
  '譬ｷ譛ｬ驥剰ｮ｡邂?: {
    sections: ['methods'],
    maxTokens: 2000,
    priority: 'medium'
  },
  '蝓ｺ郤ｿ蜿ｯ豈疲?: {
    sections: ['results', 'tables'],
    maxTokens: 3000,
    priority: 'high',
    specificTable: 'Table 1'
  },
  '扈捺棡螳梧紛諤?: {
    sections: ['results', 'figures'],
    maxTokens: 4000,
    priority: 'critical',
    keywords: ['ITT', 'per-protocol', 'missing data', 'dropout']
  },
  '騾画叫諤ｧ謚･蜻?: {
    sections: ['methods', 'results', 'supplementary'],
    maxTokens: 3000,
    priority: 'medium',
    checkTrialRegistry: true  // 蟇ｹ豈疲ｳｨ蜀梧婿譯<E5A9BF>
  },
  '蜈ｶ莉門￥蛟?: {
    sections: ['methods', 'discussion', 'supplementary'],
    maxTokens: 3000,
    priority: 'medium'
  }
};

// 蛻<>ｮｵ蟷ｶ陦梧署蜿<E7BDB2>
async function extractAllFields(sections: ParsedSections) {
  const extractionTasks = Object.entries(FIELD_EXTRACTION_ROUTES).map(
    ([fieldName, config]) => ({
      field: fieldName,
      task: extractFieldWithEvidence(fieldName, sections, config)
    })
  );
  
  // 蟷ｶ陦梧鴬陦鯉ｼ磯剄菴主ｻｶ霑滂ｼ<E6BB82>
  const results = await Promise.all(
    extractionTasks.map(t => t.task)
  );
  
  return results;
}

莨伜漢<EFBFBD>?

笨?驕ｿ蜈堺ｸｭ髣ｴ菫｡諱ｯ驕玲ｼ擾ｼ亥㊥遑ｮ邇<EFBDAE> 70% 竊?90%<25>?
笨?Token豸郁鈴剄菴?0%<25>?0K 竊?12K<32>?
笨?蟷ｶ陦梧署蜿厄ｼ悟ｻｶ霑滄剄菴?0%
笨?豈丈ｸｪ蟄玲ｮｵLLM豕ｨ諢丞鴨譖ｴ髮<EFBDB4>ｸｭ

1.3 笨?蜿梧ｨ｡蝙倶ｺ､蜿蛾ｪ瑚ｯ?

讓｡蝙狗ｻ<EFBFBD>粋<EFBFBD>咼eepSeek-V3 + Qwen3-Max<61>域<EFBFBD>譛ｬ蜿句･ｽ<EFBDA5><EFBDBD>

// 蜿梧ｨ｡蝙句ｹｶ陦瑚ｰ<E7919A><EFBDB0>?
async function dualModelExtraction(
  fieldName: string,
  relevantContent: string,
  prompt: string
) {
  const [resultA, resultB] = await Promise.all([
    llmService.chat('deepseek-v3', prompt, relevantContent),
    llmService.chat('qwen-max', prompt, relevantContent)
  ]);
  
  // 隗｣譫千ｻ捺棡
  const assessmentA = parseFieldAssessment(resultA);
  const assessmentB = parseFieldAssessment(resultB);
  
  // 蜀ｲ遯∵｣豬?
  const hasConflict = assessmentA.level !== assessmentB.level;
  
  return {
    field: fieldName,
    modelA: {
      model: 'deepseek-v3',
      assessment: assessmentA.level,  // '螳梧紛'/'荳榊ｮ梧<EFBDAE>?/'譌<>豕募愛譁ｭ'
      evidence: assessmentA.evidence,
      confidence: assessmentA.confidence
    },
    modelB: {
      model: 'qwen-max',
      assessment: assessmentB.level,
      evidence: assessmentB.evidence,
      confidence: assessmentB.confidence
    },
    hasConflict,
    needReview: hasConflict || 
                assessmentA.confidence < 0.7 || 
                assessmentB.confidence < 0.7
  };
}

1.4 笨?蟄玲ｮｵ郤ｧ蜀ｲ遯∵｣豬倶ｸ主<EFBDB8>郤ｧ螟肴<E89E9F>ｸ

**荳肴弍邂蜊慕噪"蜈ｨ驛ｨ蜀ｲ遯∝ｰｱ莠ｺ蟾･螟肴<E89E9F>?<3F>瑚梧弍譬ｹ謐ｮ蟄玲ｮｵ驥崎ｦ∵ｧ蛻<EFBDA7>ｺ?*<2A>?

// 蟄玲ｮｵ驥崎ｦ∵ｧ蛻<EFBDA7>ｺ?
const FIELD_IMPORTANCE = {
  critical: ['髫乗惻蛹匁婿豕?, '逶ｲ豕<EFBFBD>', '扈捺棡螳梧紛諤?],      // 譬ｸ蠢<EFBDB8>￥蛟夐｣朱<EFBDA3>?
  high: ['遐皮ｩｶ隶ｾ隶｡', '遐皮ｩｶ莠ｺ鄒､', '蟷ｲ鬚<EFBDB2>蒔譁ｽ', '扈灘ｱ謖<C280><E8AC96><EFBFBD>', '蝓ｺ郤ｿ蜿ｯ豈疲?],
  medium: ['譬ｷ譛ｬ驥剰ｮ｡邂?, '騾画叫諤ｧ謚･蜻?, '蜈ｶ莉門￥蛟?]
};

// 譎ｺ閭ｽ蛻<EFBDBD>ｵ<EFBFBD>
function prioritizeReview(conflicts: FieldConflict[]): ReviewQueue {
  const queue = {
    urgent: [],      // 蜈ｳ髞ｮ蟄玲ｮｵ蜀ｲ遯<EFBDB2> 竊?遶句叉莠ｺ蟾･螟肴<E89E9F>ｸ
    important: [],   // 鬮倅ｼ伜<EFBDBC>郤ｧ蟄玲ｮｵ蜀ｲ遯<EFBDB2> 竊?24蟆乗慮蜀<E685AE>､肴<EFBDA4>?
    normal: []       // 荳ｭ遲我ｼ伜<EFBDBC>郤ｧ蟄玲ｮｵ蜀ｲ遯?竊?48蟆乗慮蜀<E685AE>､肴<EFBDA4>?
  };
  
  for (const conflict of conflicts) {
    if (!conflict.hasConflict) continue;
    
    if (FIELD_IMPORTANCE.critical.includes(conflict.field)) {
      queue.urgent.push({
        ...conflict,
        reason: '蜈ｳ髞ｮ譁ｹ豕募ｭｦ蟄玲ｮｵ蜀ｲ遯<EFBDB2>ｼ悟ｽｱ蜩榊￥蛟夐｣朱勦隸<E58BA6>ｼ?,
        deadline: new Date(Date.now() + 2 * 3600 * 1000) // 2蟆乗慮
      });
    } else if (FIELD_IMPORTANCE.high.includes(conflict.field)) {
      queue.important.push({
        ...conflict,
        reason: '鬮倅ｼ伜<EFBFBD>郤ｧ蟄玲ｮｵ蜀ｲ遯<EFBFBD>',
        deadline: new Date(Date.now() + 24 * 3600 * 1000) // 24蟆乗慮
      });
    } else {
      queue.normal.push({
        ...conflict,
        reason: '荳闊ｬ蟄玲ｮｵ蜀ｲ遯?,
        deadline: new Date(Date.now() + 48 * 3600 * 1000) // 48蟆乗慮
      });
    }
  }
  
  return queue;
}

1.5 笨?蝓ｺ遑隸∵紺體ｾ<E9AB94>亥次譁<E6ACA1>ｼ慕畑<E68595>?

MVP髦ｶ谿ｵ隕∵ｱ<EFBFBD><EFBFBD>壽ｯ丈ｸｪ蟄玲ｮｵ蠢<EFBFBD>｡ｻ譛牙次譁<EFBFBD>ｼ慕畑

interface FieldEvidence {
  field: string;
  assessment: '螳梧紛' | '荳榊ｮ梧<EFBDAE>? | '譌<EFBFBD>豕募愛譁ｭ';
  
  // 箝?蠑ｺ蛻ｶ隕∵ｱ<E288B5>
  evidence: {
    quote: string;           // 蜴滓枚蠑慕畑<E68595>?00-300蟄暦ｼ<E69AA6>
    location: {
      section: string;       // "Methods"
      page?: number;         // 3<>亥ｦよ棡PDF譛蛾｡ｵ遐<EFBDB5>ｼ<EFBFBD>
      paragraph?: number;    // 2
      table?: string;        // "Table 1"
      figure?: string;       // "Figure 1"
    };
    highlightedKeywords: string[];  // 蜈ｳ髞ｮ菫｡蜿ｷ隸?
  };
  
  reasoning: string;        // 蛻､譁ｭ逅<EFBDAD>罰<EFBFBD>?0-200蟄暦ｼ<E69AA6>
  confidence: number;       // 0.0-1.0
}

// 蜷主､<E4B8BB>炊鬪瑚ｯ<E7919A>ｼ夂｡ｮ菫晄ｯ丈ｸｪ蟄玲ｮｵ驛ｽ譛芽ｯ∵紺
function validateEvidence(result: ExtractionResult): ValidationReport {
  const errors = [];
  
  for (const [field, data] of Object.entries(result.fields)) {
    // 譽譟?<3F>壼ｿ<E5A3BC>｡ｻ譛牙ｼ慕畑
    if (!data.evidence?.quote) {
      errors.push({
        field,
        type: 'missing_evidence',
        message: `蟄玲ｮｵ"${field}"郛ｺ蟆大次譁<E6ACA1>ｼ慕畑`
      });
    }
    
    // 譽譟?<3F>壼ｼ慕畑荳崎<E88DB3>螟ｪ遏ｭ<E9818F>磯∩蜈肴聞陦搾ｼ?
    if (data.evidence?.quote && data.evidence.quote.length < 50) {
      errors.push({
        field,
        type: 'insufficient_evidence',
        message: `蟄玲ｮｵ"${field}"逧<>ｼ慕畑霑<E79591>洒<EFBFBD><E6B492><50蟄暦ｼ会ｼ悟庄閭ｽ荳崎ｶｳ莉･謾ｯ謖∝愛譁ｭ`
      });
    }
    
    // 譽譟?<3F>壼ｿ<E5A3BC>｡ｻ譛我ｽ咲ｽｮ菫｡諱ｯ
    if (!data.evidence?.location?.section) {
      errors.push({
        field,
        type: 'missing_location',
        message: `蟄玲ｮｵ"${field}"譛ｪ譬<EFBDAA>ｳｨ蜴滓枚菴咲ｽｮ`
      });
    }
  }
  
  return {
    isValid: errors.length === 0,
    errors,
    completeness: 1 - (errors.length / (Object.keys(result.fields).length * 3))
  };
}

莠後?2蟄玲ｮｵ荳謎ｸ啀rompt讓｡譚ｿ<E8AD9A><EFBDBF>VP迚茨ｼ<E88CA8>

遉ｺ萓具ｼ夐囂譛ｺ蛹匁婿豕包ｼ亥<EFBFBD>髞ｮ蟄玲ｮｵ<EFBFBD><EFBFBD>

# 蟄玲ｮｵ謠仙叙莉ｻ蜉｡<E89C89>夐囂譛ｺ蛹匁婿豕<E5A9BF>

## 閭梧勹隸ｴ譏<EFBDB4>
菴<EFBFBD>譏ｯ荳菴榊ｾｪ隸∝現蟄ｦ荳灘ｮｶ<EFBFBD>梧ｭ｣蝨ｨ隸<EFBFBD>ｼｰ荳遽⑲CT遐皮ｩｶ逧<EFBFBD>婿豕募ｭｦ雍ｨ驥上?
隸ｷ譬ｹ謐ｮCochrane蛛丞夐｣朱勦隸<E58BA6>ｼｰ蟾･蜈ｷ<E89C88><EFBDB7>oB 2.0<EFBFBD>臥噪譬<EFBFBD>㊥<EFBFBD>悟愛譁ｭ隸･遐皮ｩｶ逧<EFBFBD>囂譛ｺ蛹匁婿豕墓弍蜷ｦ蜈<EFBFBD><EFBFBD>縲?

## 蠕<><E8A095>譫仙<E8ADAB>螳?
莉･荳区弍隶ｺ譁<EFBFBD>噪Methods遶<EFBFBD>闃ょ柱逶ｸ蜈ｳ蝗ｾ陦ｨ<EFBFBD><EFBFBD>

${relevantContent}

## 蛻､譁ｭ譬<EFBDAD>㊥

### 螳梧紛<E6A2A7><E7B49B>ow risk of bias<61>?
髴**蜷梧慮貊｡雜ｳ**莉･荳区擅莉ｶ<E88E89>?
1. 笨?譏守｡ｮ隸ｴ譏朱囂譛ｺ蠎丞<E8A08E>逕滓<E98095>譁ｹ豕<EFBDB9>
   - 遉ｺ萓具ｼ喞omputer-generated random sequence, random number table, 
           central randomization, minimization
2. 笨?隸ｴ譏主<E8AD8F>驟埼嚼阯乗婿豕<E5A9BF>
   - 遉ｺ萓具ｼ嘖ealed opaque envelopes, central allocation, 
           pharmacy-controlled, IWRS (Interactive Web Response System)
3. 笨?譌<>騾画叫蛛丞夂噪隸∵紺
   - 蝓ｺ郤ｿ迚ｹ蠕∝ｹｳ陦｡
   - 譌<>蠑ょｸｸ逧<EFBDB8><E980A7>扈<EFBFBD>慮髣ｴ讓｡蠑<EFBDA1>

### 荳榊ｮ梧紛<E6A2A7><E7B49B>igh/Unclear risk of bias<61>?
莉･荳区ュ蜀ｵ蛻､螳壻ｸｺ荳榊ｮ梧紛<EFBFBD>?
- 笶?莉<>署蛻?髫乗惻蛻<E683BB>ｻ<EFBFBD>"菴<>裏蜈ｷ菴捺婿豕<E5A9BF>
- 笶?菴ｿ逕ｨ荳榊ｽ鍋噪髫乗惻蛹匁婿豕包ｼ域潔譌･譛溘∽ｽ城劼蜿ｷ縲∽ｺ､譖ｿ蛻<EFBDBF><E89BBB><EFBFBD><EFBFBD>
- 笶?譌<>蛻<EFBFBD><E89BBB>髫占酪謌門<E8AC8C>驟埼嚼阯丈ｸ榊ｽ難ｼ亥ｼ謾ｾ蛻<EFBDBE><E89BBB>陦ｨ<E999A6>?
- 笶?蝓ｺ郤ｿ蟄伜惠譏ｾ闡嶺ｸ榊ｹｳ陦｡荳疲裏隹<E8A38F><E99AB9>?
- 笞<><E7AC9E><EFBFBD> 譁ｹ豕墓緒霑ｰ讓｡邉奇ｼ梧裏豕募愛譁ｭ蜈<EFBDAD><E89C88>諤?

### 譌<>豕募愛譁ｭ<E8AD81><EFBDAD>nclear risk<73>?
- 隶ｺ譁<EFBDBA>ｮ悟<EFBDAE>譛ｪ謠仙所髫乗惻蛹匁婿豕<E5A9BF>
- 莉<>惠蜈ｶ莉門慍譁ｹ<E8AD81>亥ｦよｳｨ蜀梧婿譯茨ｼ画署蛻ｰ<E89BBB>御ｽ<E5BEA1>悽譁<E682BD>悴謠剰ｿｰ

## 蜈ｳ髞ｮ菫｡蜿ｷ隸?

**鬮倩ｴｨ驥丈ｿ｡蜿ｷ<E89CBF>亥ｮ梧紛<E6A2A7>?*<2A>?
- "computer-generated random sequence"
- "central randomization/allocation"
- "sealed opaque envelopes"
- "stratified randomization"
- "block randomization"
- "minimization"
- "allocation concealment"

**鬟朱勦菫｡蜿ｷ<E89CBF>井ｸ榊ｮ梧紛<E6A2A7>?*<2A>?
- "alternating allocation"
- "by date of birth"
- "by hospital number"
- "open allocation"
- "assigned by investigator"

## 謠仙叙謖<E58F99>漉

1. **莨伜<E88EA8>譟･謇ｾ菴咲ｽｮ**<EFBFBD>?
   - Methods遶<73>闃ら<E99783>?Randomization"蟆剰鰍
   - Figure 1 (CONSORT豬∫ｨ句<EFBDA8>?
   - Trial Registration菫｡諱ｯ
   - 陦･蜈<EFBDA5>攝譁呻ｼ<E591BB>upplementary Materials<6C>?

2. **莠､蜿蛾ｪ瑚ｯ<E7919A>**<EFBFBD>?
   - Methods謠剰ｿｰ vs. Results荳ｭ逧<EFBDAD>渕郤ｿ謨ｰ謐ｮ
   - 螢ｰ遘ｰ逧<EFBDB0>婿豕?vs. 螳樣刔逧<E58894>渕郤ｿ蟷ｳ陦｡諠<EFBDA1><E8ABA0>?

3. **迚ｹ谿頑ュ蜀ｵ**<EFBFBD>?
   - 螯よ棡謠仙芦"see protocol"謌?see trial registration"<22>梧<EFBFBD><E6A2A7>ｮｰ荳ｺ髴隕∵衍髦<E8A18D>､夜Κ襍<CE9A><E8A58D>?
   - 螯よ棡譏ｯ螟壻ｸｭ蠢<EFBDAD><E8A0A2>皮ｩｶ<EFBDA9>悟ｺ碑ｯ･譛我ｸｭ蠢<EFBDAD>囂譛ｺ蛹也ｳｻ扈?

## 霎灘<E99C8E>譬ｼ蠑擾ｼ井ｸ･譬ｼJSON<4F>?

{
  "assessment": "螳梧紛" | "荳榊ｮ梧<EFBDAE>? | "譌<>豕募愛譁ｭ",
  "evidence": {
    "quote": "蜴滓枚蠑慕畑<E68595>?00-300蟄暦ｼ悟桁蜷ｫ蜈ｳ髞ｮ譁ｹ豕墓緒霑ｰ<E99C91>?,
    "location": {
      "section": "Methods",
      "subsection": "Randomization",
      "page": 3,
      "paragraph": 2,
      "figure": "Figure 1 (CONSORT diagram)"
    },
    "highlightedKeywords": [
      "蜈ｳ髞ｮ隸?",
      "蜈ｳ髞ｮ隸?"
    ]
  },
  "reasoning": "蛻､譁ｭ逅<EFBDAD>罰<EFBFBD>壽<EFBFBD>ｹ謐ｮ蜴滓枚蠑慕畑<E68595>瑚ｯ･遐皮ｩ?..",
  "confidence": 0.95,
  "robAssessment": "Low risk" | "High risk" | "Unclear risk",
  "needsExternalVerification": false,
  "notes": "蜈ｶ莉冶ｯｴ譏趣ｼ亥庄騾会ｼ<E4BC9A>"
}

## 豕ｨ諢丈ｺ矩｡ｹ

1. **荳･譬ｼ驕ｵ螳<EFBDB5>ochrane譬<65>㊥**<EFBFBD>壼ｮ∝庄蛻､譁ｭ荳ｺ"荳榊ｮ梧<EFBDAE>?<3F>御ｸ崎ｦ∬ｿ<E288AC>ｺ主ｮｽ譚?
2. **蠑慕畑蠢<E79591>｡ｻ蜈ｷ菴<EFBDB7>**<EFBFBD>壻ｸ崎ｦ∫ｬｼ扈溷慍隸?Methods遶<73>闃よ署蛻ｰ"<22>悟ｿ<E6829F>｡ｻ扈吝<E68988>蜈ｷ菴灘ｼ慕<EFBDBC>?
3. **鄂ｮ菫｡蠎ｦ隸壼ｮ?*<2A>壼ｦよ棡菫｡諱ｯ荳肴ｸ<E882B4>匆<EFBFBD>碁剄菴残onfidence蟷ｶ譬<EFBDB6>ｮｰneedsExternalVerification
4. **蛹ｺ蛻<EFBDBA>"譛ｪ蛛<EFBDAA>"蜥?譛ｪ謚･蜻?**<EFBFBD>?
   - 螯よ棡隶ｺ譁<EFBDBA><E8AD81>遑ｮ隸?no randomization"<22>径ssessment="荳榊ｮ梧<EFBDAE>?
   - 螯よ棡隶ｺ譁<EFBDBA>ｮ悟<EFBDAE>譛ｪ謠仙所<E4BB99>径ssessment="譌<>豕募愛譁ｭ"

蜈ｶ莉<EFBFBD>11荳ｪ蟄玲ｮｵ逧Пrompt讓｡譚ｿ<EFBFBD>夂ｱｻ莨ｼ扈捺桷<EFBFBD>梧<EFBFBD>ｹ謐ｮCochrane譬<EFBFBD>㊥隹<EFBFBD>紛蛻､譁ｭ譬<EFBFBD>㊥

荳峨｀VP謌先悽鬚<EFBFBD>ｮ<EFBFBD>

*蝨ｺ譎ｯ<EFBFBD>?00遽<30><E981BD>譁<EFBFBD>､咲ｭ?

邇ｯ闃<EFBFBD>	Token豸郁?	讓｡蝙<EFBFBD>	謌先悽
Nougat謠仙叙	-	譛ｬ蝨ｰ讓｡蝙<EFBFBD>	ﾂ･0
12蟄玲ｮｵ謠仙叙<EFBFBD>亥曙讓｡蝙具ｼ?	12K ﾃ<> 2 = 24K	DeepSeek-V3 + Qwen3-Max	ﾂ･0.06/遽?
蜀ｲ遯∝ｭ玲ｮｵ莠ｺ蟾･螟肴<EFBFBD>ｸ<EFBFBD>?0%<25>?	-	莠ｺ蟾･	2蛻<EFBFBD>帖/蟄玲ｮｵ
*100遽<EFBFBD>ｻ謌先<EFBFBD>?	-	-	ﾂ･6 + 莠ｺ蟾･謌先悽

蟇ｹ豈<EFBFBD><EFBFBD>?

蜈ｨ譁<EFBFBD>ｸ谺｡諤ｧ謠仙叙<EFBFBD>堋･10/100遽?
蛻<EFBFBD>ｮｵ謠仙叙<EFBFBD>堋?/100遽?
*闃ら怐40%謌先悽 + 蜃<>｡ｮ邇<EFBDAE>署蜊?

蝗帙｀VP鬪梧噺譬<EFBFBD>㊥

謖<EFBFBD><EFBFBD><EFBFBD>	逶ｮ譬<EFBFBD>	鬪瑚ｯ∵婿豕<EFBFBD>
蟄玲ｮｵ謠仙叙螳梧紛邇?	竕?90%	12蟄玲ｮｵ驛ｽ譛臥ｻ捺棡<EFBFBD>磯撼"譌<>豕募愛譁ｭ"<22>?
蜿梧ｨ｡蝙倶ｸ閾ｴ邇<EFBFBD>	竕?75%	12蟄玲ｮｵ荳ｭ閾ｳ蟆?荳ｪ荳閾?
隸∵紺體ｾ螳梧紛諤?	100%	豈丈ｸｪ蟄玲ｮｵ驛ｽ譛牙次譁<EFBFBD>ｼ慕畑蜥御ｽ咲ｽ?
莠ｺ蟾･螟肴<EFBFBD>ｸ髦溷<EFBFBD>	竕?30%	髴隕∽ｺｺ蟾･莉句<EFBFBD>逧<EFBFBD>枚迪ｮ蜊<EFBFBD>豈<EFBFBD>
Nougat謌仙粥邇?	竕?85%	闍ｱ譁<EFBFBD>ｮｺ譁<EFBFBD><EFBFBD>蜉滓署蜿匁ｯ比ｾ<EFBFBD>
螟<EFBFBD>炊騾溷ｺｦ	竕?3蛻<33>帖/遽?	莉傘DF蛻ｰ扈捺棡逧<EFBFBD>ｻ譌ｶ髟?

<EFBFBD>嶋 V1.0 髦ｶ谿ｵ<E8B0BF>? 蜻ｨ<E89CBB><EFBDA8>

逶ｮ譬<EFBFBD>ｮ壻ｽ<EFBFBD>

**蜃<>｡ｮ邇<EFBDAE>岼譬?*<2A>壺翁 92%
**菫｡諱ｯ螳梧紛邇?*<2A>壺翁 95%
謌先悽鬚<EFBFBD>ｮ<EFBFBD><EFBFBD>壺王ﾂ･0.08/遽<>ｼ域匱閭ｽ謌先悽莨伜喧<E4BC9C>?
莠､莉俶<EFBFBD><EFBFBD>㊥<EFBFBD>夐ｫ倩ｴｨ驥剰ｾ灘<EFBFBD><EFBFBD>悟ｮ梧紛隸∵紺體ｾ<EFBFBD>梧匱閭ｽ雍ｨ驥乗而蛻?

荳縲∬ｴｨ驥乗署蜊<EFBFBD>ｭ也<EFBFBD>?

1.1 笨?Cochrane譬<65>㊥Prompt蠅槫ｼｺ

**蝨ｨMVP蝓ｺ遑荳雁｢槫<EFBDA2>?*<2A>?

Few-shot蛹ｻ蟄ｦ譯井ｾ<E4BA95><EFBFBD>域ｯ丈ｸｪ蟄玲ｮ?-5荳ｪ逵溷ｮ樊｡井ｾ具ｼ<E585B7>

## 蜿り<E3828A>｡井ｾ?

莉･荳区<E88DB3>?荳ｪ逵溷ｮ朿CT遐皮ｩｶ逧<EFBDB6>囂譛ｺ蛹匁婿豕戊ｯ<E6888A>ｼｰ譯井ｾ具ｼ悟ｸｮ蜉ｩ菴<EFBDA9>逅<EFBFBD>ｧ｣蛻､譁ｭ譬<EFBDAD>㊥<EFBFBD>?

### 譯井ｾ<E4BA95>1<EFBFBD>夐ｫ倩ｴｨ驥蹴CT<43><54>EJM, 2023<32>?
**蜴滓枚蠑慕畑**<2A>?
"Randomization was performed with the use of a computer-generated sequence 
with stratification according to center and baseline NIHSS score (竕?0 or >10). 
Allocation was concealed through a central web-based system (IWRS)."

**隸<>ｼｰ扈捺棡**<EFBFBD>壼ｮ梧<EFBFBD>?
**逅<>罰**<EFBFBD>?
1. 笨?譏守｡ｮ逧<EFBDAE>ｺ丞<EFBDBA>逕滓<E98095>譁ｹ豕包ｼ<E58C85>omputer-generated<65>?
2. 笨?蛻<>ｱる囂譛ｺ蛹厄ｼ域署鬮伜ｹｳ陦｡諤ｧ<E8ABA4><EFBDA7>
3. 笨?荳ｭ蠢<EFBDAD><E8A0A2>驟埼嚼阯擾ｼ<E693BE>WRS<52>?
4. 笨?蝓ｺ郤ｿTable 1譏ｾ遉ｺ荳､扈<EFBDA4>ｹｳ陦｡濶ｯ螂ｽ<E89E82><EFBDBD>>0.05<EFBFBD>?
**RoB 2.0蛻､譁ｭ**<2A>哭ow risk of bias

---

### 譯井ｾ<E4BA95>2<EFBFBD>夊ｴｨ驥丈ｸ崎ｶｳ<EFBDB6>域汾譛溷<E8AD9B>? 2020<32>?
**蜴滓枚蠑慕畑**<2A>?
"Patients were randomly assigned to receive either drug A or placebo 
in a 1:1 ratio. Randomization was performed by the study coordinator."

**隸<>ｼｰ扈捺棡**<EFBFBD>壻ｸ榊ｮ梧紛
**逅<>罰**<EFBFBD>?
1. 笶?譛ｪ隸ｴ譏主ｺ丞<EFBDBA>逕滓<E98095>譁ｹ豕包ｼ井ｻ<E4BA95>ｯｴ"髫乗惻"<22>?
2. 笶?逕ｱ遐皮ｩｶ蜊剰ｰ<E589B0>遭謇ｧ陦碁囂譛ｺ蛹厄ｼ域裏蛻<E8A38F><E89BBB>髫占酪<E58DA0><E985AA>
3. 笞<><E7AC9E><EFBFBD> Table 1譏ｾ遉ｺ蟇ｹ辣ｧ扈<EFBDA7>ｹｴ鮴<EFBDB4>￥螟ｧ<E89E9F><EFBDA7>66.2 vs 62.1, P=0.04<EFBFBD>?
**RoB 2.0蛻､譁ｭ**<2A>唏igh risk of bias
**髣ｮ鬚<EFBDAE>**<EFBFBD>壼庄閭ｽ蟄伜惠騾画叫蛛丞?

---

### 譯井ｾ<E4BA95>3<EFBFBD>夊ｾｹ逡梧ュ蜀ｵ<E89C80><EFBDB5>ancet, 2021<32>?
**蜴滓枚蠑慕畑**<2A>?
"Randomization was done with sequentially numbered, opaque, sealed envelopes 
prepared by an independent statistician not otherwise involved in the trial."

**隸<>ｼｰ扈捺棡**<EFBFBD>壼ｮ梧<EFBFBD>?
**逅<>罰**<EFBFBD>?
1. 笨?陌ｽ髱樔ｸｭ蠢<EFBDAD>囂譛ｺ蛹厄ｼ御ｽ<E5BEA1>ｽｿ逕ｨ蟇<EFBDA8>ｰ∽ｿ｡蟆?
2. 笨?迢ｬ遶狗ｬｬ荳画婿蜃<E5A9BF>､<EFBFBD>ｼ育ｻ溯ｮ｡蟶茨ｼ<E88CA8>
3. 笨?荳埼丞<C280><E4B89E><EFBFBD>paque<75>我ｸ泌ｯ<E6B38C>ｰ<EFBFBD>ｼ<EFBFBD>ealed<65>?
4. 笨?蝓ｺ郤ｿ蟷ｳ陦｡濶ｯ螂ｽ
**RoB 2.0蛻､譁ｭ**<2A>哭ow risk of bias
**隸ｴ譏<EFBDB4>**<EFBFBD>夂ｬｦ蜷<EFBFBD>ochrane譬<EFBFBD>㊥<EFBFBD>亥ｯ<EFBFBD>ｰ∽ｿ｡蟆?+ 迢ｬ遶句㊥螟<E38AA5>庄謗･蜿暦ｼ<E69AA6>

---

邇ｰ蝨ｨ隸ｷ菴<EFBDB7>蜿り<E3828A>ｻ･荳頑｡井ｾ狗噪隸<E599AA>ｼｰ譁ｹ蠑擾ｼ悟<EFBDBC>譫仙ｽ灘燕隶ｺ譁?..

Chain of Thought謗ｨ逅<EFBDA8>

## 霎灘<E99C8E>譬ｼ蠑擾ｼ亥｢槫ｼｺ迚茨ｼ?

{
  "assessment": "螳梧紛",
  
  // 箝?譁ｰ蠅橸ｼ夐先ｭ･謗ｨ逅<EFBDA8>ｿ<EFBFBD>ｨ<EFBFBD>
  "reasoning_steps": {
    "step1_sequenceGeneration": {
      "finding": "隶ｺ譁<EFBDBA>署蛻ｰ'computer-generated random sequence'",
      "evaluation": "貊｡雜ｳ蠎丞<E8A08E>逕滓<E98095>譁ｹ豕戊ｦ∵ｱ<E288B5> 笨?
    },
    "step2_allocationConcealment": {
      "finding": "菴ｿ逕ｨ'central web-based system (IWRS)'",
      "evaluation": "貊｡雜ｳ蛻<EFBDB3><E89BBB>髫占酪隕∵ｱ<E288B5> 笨?
    },
    "step3_baselineBalance": {
      "finding": "Table 1譏ｾ遉ｺ荳ｻ隕∫音蠕￣>0.05",
      "evaluation": "譌<>譏取仞騾画叫蛛丞夊ｯ∵<EFBDAF>?笨?
    },
    "step4_finalJudgment": {
      "conclusion": "荳蛾｡ｹ譬<EFBDB9>㊥蝮<E38AA5>ｻ｡雜ｳ<E99B9C>悟愛譁ｭ荳?螳梧紛'",
      "confidence": 0.95
    }
  },
  
  "evidence": { ... },
  "robAssessment": "Low risk"
}

1.2 笨?蜈ｨ譁<EFBDA8>ｺ､蜿蛾ｪ瑚ｯ<E7919A>ｼ磯亟驕玲ｼ擾ｼ?

**蝨ｨ蛻<EFBDA8>ｮｵ謠仙叙蜷趣ｼ悟｢槫刈蜈ｨ譁<EFBDA8>ｪ瑚ｯ∫識闃?*<2A>?

// 髦ｶ谿ｵ1<EFBDB5>壼<EFBFBD>谿ｵ謠仙叙<E4BB99>亥ｷｲ螳梧<E89EB3><E6A2A7><EFBFBD>
const segmentedResults = await extractAllFieldsSegmented(sections);

// 箝?髦ｶ谿ｵ2<EFBDB5>壼<EFBFBD>譁<EFBFBD>ｺ､蜿蛾ｪ瑚ｯ<E7919A>ｼ域眠蠅橸ｼ?
async function crossValidateWithFullText(
  segmentedResults: FieldResult[],
  fullTextMarkdown: string
): Promise<ValidationReport> {
  
  // 鬪瑚ｯ<E7919A>1<EFBFBD>壽｣譟･譏ｯ蜷ｦ譛蛾＠貍丈ｿ｡諱ｯ
  const missingInfoChecks = await Promise.all([
    checkForMissingInfo('髫乗惻蛹匁婿豕?, fullTextMarkdown, segmentedResults),
    checkForMissingInfo('逶ｲ豕<EFBFBD>', fullTextMarkdown, segmentedResults),
    // ... 蜈ｶ莉門<E88E89>髞ｮ蟄玲ｮｵ
  ]);
  
  // 鬪瑚ｯ<E7919A>2<EFBFBD>壽｣譟･譏ｯ蜷ｦ譛臥泝逶ｾ菫｡諱ｯ
  const contradictionChecks = await checkContradictions(
    segmentedResults,
    fullTextMarkdown
  );
  
  // 鬪瑚ｯ<E7919A>3<EFBFBD>壽｣譟･譏ｯ蜷ｦ謠仙芦陦･蜈<EFBDA5>攝譁?
  const supplementaryCheck = checkSupplementaryMaterial(fullTextMarkdown);
  
  return {
    missingInfoAlerts: missingInfoChecks.filter(c => c.hasIssue),
    contradictions: contradictionChecks,
    needsSupplementary: supplementaryCheck.needsExternal,
    overallCompleteness: calculateCompleteness(...)
  };
}

// 遉ｺ萓具ｼ壽｣譟･驕玲ｼ丈ｿ｡諱?
async function checkForMissingInfo(
  field: string,
  fullText: string,
  extractedResult: FieldResult
): Promise<ValidationAlert> {
  
  // 螯よ棡蟾ｲ扈丞愛螳壻ｸ?螳梧紛"<22>瑚ｷｳ霑?
  if (extractedResult.assessment === '螳梧紛') {
    return { field, hasIssue: false };
  }
  
  // 蝨ｨ蜈ｨ譁<EFBDA8>ｸｭ謳懃ｴ｢蜈ｳ髞ｮ隸?
  const keywords = FIELD_KEYWORDS[field];  // 鬚<>ｮ壻ｹ牙<EFBDB9>髞ｮ隸崎｡?
  const foundKeywords = keywords.filter(kw => 
    fullText.toLowerCase().includes(kw.toLowerCase())
  );
  
  // 螯よ棡蜈ｨ譁<EFBDA8>ｸｭ譛牙<E8AD9B>髞ｮ隸搾ｼ御ｽ<E5BEA1>署蜿也ｻ捺棡譏ｯ"譌<>豕募愛譁ｭ"
  if (foundKeywords.length > 0 && extractedResult.assessment === '譌<EFBFBD>豕募愛譁ｭ') {
    return {
      field,
      hasIssue: true,
      severity: 'warning',
      message: `蜈ｨ譁<EFBDA8>ｸｭ蜿醍鴫蜈ｳ髞ｮ隸阪?{foundKeywords.join(', ')}縲托ｼ<E68998>
                菴<>ｭ玲ｮ?${field}"蛻､譁ｭ荳?譌<>豕募愛譁ｭ"<22>悟庄閭ｽ蟄伜惠驕玲ｼ汁,
      suggestedAction: 'targeted_re_extraction',
      keywords: foundKeywords
    };
  }
  
  return { field, hasIssue: false };
}

謨域棡<EFBFBD>?

驕玲ｼ丈ｿ｡諱ｯ譽蜃ｺ邇<EFBFBD>ｼ?% 竊?80%
蜃<EFBFBD>｡ｮ邇<EFBFBD>署蜊<EFBFBD>ｼ<EFBFBD>85% 竊?92%

1.3 笨?蛹ｻ蟄ｦ騾ｻ霎題ｧ<E9A18C><EFBDA7>蠑墓梼

閾ｪ蜉ｨ譽譟･蟶ｸ隗∫噪騾ｻ霎鷹漠隸ｯ<EFBFBD>?

const MEDICAL_LOGIC_RULES = [
  {
    id: 'rule_001',
    name: 'RCT蠢<54>｡ｻ譛蛾囂譛ｺ蛹<EFBDBA>',
    check: (data) => {
      const isRCT = data.遐皮ｩｶ隶ｾ隶｡.toLowerCase().includes('rct') ||
                    data.遐皮ｩｶ隶ｾ隶｡.includes('髫乗惻');
      const hasRandomization = data.髫乗惻蛹匁婿豕?!== '譌<>豕募愛譁ｭ';
      return !isRCT || hasRandomization;
    },
    severity: 'error',
    message: '遐皮ｩｶ螢ｰ遘ｰ譏ｯRCT菴<54>悴謇ｾ蛻ｰ髫乗惻蛹匁婿豕墓緒霑?,
    action: 'flag_for_urgent_review'
  },
  
  {
    id: 'rule_002',
    name: '蜿檎峇遐皮ｩｶ蠢<EFBFBD>｡ｻ隸ｴ譏守峇豕<EFBFBD>',
    check: (data) => {
      const isDoubleBlind = data.遐皮ｩｶ隶ｾ隶｡.includes('蜿檎峇') ||
                            data.遐皮ｩｶ隶ｾ隶｡.includes('double-blind');
      const hasBlinding = data.逶ｲ豕<EFBDB2> !== '譌<EFBFBD>豕募愛譁ｭ' && 
                          data.逶ｲ豕<EFBDB2> !== '荳榊ｮ梧<EFBFBD>?;
      return !isDoubleBlind || hasBlinding;
    },
    severity: 'error',
    message: '螢ｰ遘ｰ蜿檎峇菴<E5B387>峇豕墓緒霑ｰ荳榊ｮ梧紛',
    action: 'flag_for_review'
  },
  
  {
    id: 'rule_003',
    name: '譬ｷ譛ｬ驥丈ｸ主渕郤ｿ謨ｰ謐ｮ荳閾ｴ諤?,
    check: (data) => {
      const planned = extractNumber(data.譬ｷ譛ｬ驥剰ｮ｡邂?;
      const enrolled = extractNumber(data.遐皮ｩｶ莠ｺ鄒､);
      if (!planned || !enrolled) return true;  // 譌<>豕墓署蜿門<E89CBF>霍ｳ霑?
      
      const deviation = Math.abs(planned - enrolled) / planned;
      return deviation < 0.3;  // 蛛丞ｷｮ<30%
    },
    severity: 'warning',
    message: '隶｡蛻呈<EFBFBD>ｷ譛ｬ驥丈ｸ主ｮ樣刔蜈･扈<EFBFBD>ｷｮ蠑りｾ<EFBFBD>､ｧ(>30%)',
    action: 'add_note'
  },
  
  {
    id: 'rule_004',
    name: '蝓ｺ郤ｿ荳榊ｹｳ陦｡髴隕∬ｰ<EFBFBD><EFBFBD>?,
    check: (data) => {
      const hasImbalance = data.蝓ｺ郤ｿ蜿ｯ豈疲?includes('荳榊ｹｳ陦?) ||
                          data.蝓ｺ郤ｿ蜿ｯ豈疲?includes('P<0.05');
      const hasAdjustment = data.扈灘ｱ謖<C280><E8AC96><EFBFBD>.includes('隹<EFBFBD>紛') ||
                           data.扈灘ｱ謖<C280><E8AC96><EFBFBD>.includes('adjusted');
      return !hasImbalance || hasAdjustment;
    },
    severity: 'warning',
    message: '蝓ｺ郤ｿ蟄伜惠荳榊ｹｳ陦｡菴<EFBFBD>悴隗∬ｰ<EFBFBD>紛蛻<EFBFBD>梵',
    action: 'add_note'
  },
  
  {
    id: 'rule_005',
    name: 'ITT蛻<EFBFBD>梵螳梧紛諤?,
    check: (data) => {
      const hasDropout = extractNumber(data.扈捺棡螳梧紛諤? > 0;
      const hasITT = data.扈捺棡螳梧紛諤?toLowerCase().includes('itt') ||
                    data.扈捺棡螳梧紛諤?includes('intention-to-treat');
      return !hasDropout || hasITT;
    },
    severity: 'warning',
    message: '蟄伜惠螟ｱ隶ｿ菴<EFBDBF>悴譏守｡ｮITT蛻<54>梵',
    action: 'flag_for_review'
  }
];

// 閾ｪ蜉ｨ鬪瑚ｯ<E7919A>
function validateMedicalLogic(extractedData: ExtractionResult): LogicReport {
  const violations = [];
  
  for (const rule of MEDICAL_LOGIC_RULES) {
    try {
      const passed = rule.check(extractedData);
      if (!passed) {
        violations.push({
          ruleId: rule.id,
          ruleName: rule.name,
          severity: rule.severity,
          message: rule.message,
          action: rule.action
        });
      }
    } catch (error) {
      console.error(`隗<><E99A97>${rule.id}謇ｧ陦悟､ｱ雍･:`, error);
    }
  }
  
  return {
    totalRules: MEDICAL_LOGIC_RULES.length,
    passedRules: MEDICAL_LOGIC_RULES.length - violations.length,
    violations,
    overallValidity: violations.filter(v => v.severity === 'error').length === 0
  };
}

1.4 笨?螳梧紛隸∵紺體ｾ<E9AB94>亥｢槫ｼｺ迚茨ｼ<E88CA8>

V1.0隕∵ｱ<EFBFBD><EFBFBD>壻ｸ堺ｻ<EFBFBD>怏蠑慕畑<EFBFBD>瑚ｿ倩ｦ∵怏蜈ｷ菴灘ｮ壻ｽ榊柱鬮倅ｺ?

interface EnhancedEvidence {
  field: string;
  assessment: string;
  
  evidence: {
    // 荳ｻ隕∬ｯ∵紺
    primaryQuote: {
      text: string;              // 蜴滓枚蠑慕畑
      location: {
        section: string;         // "Methods"
        subsection?: string;     // "Randomization"
        page: number;            // 3
        paragraph: number;       // 2
        lineRange?: [number, number];  // [45, 52]
      };
      highlightedText: string;   // HTML鬮倅ｺｮ迚域悽
      keywords: string[];        // 蜈ｳ髞ｮ隸榊<E99AB8>陦?
    };
    
    // 謾ｯ謖∬ｯ∵紺<E288B5>亥庄騾会ｼ<E4BC9A>
    supportingQuotes?: Array<{
      text: string;
      location: any;
      relation: string;  // "confirms" | "contradicts" | "complements"
    }>;
    
    // 陦ｨ譬ｼ/蝗ｾ迚<EFBDBE>ｯ∵紺
    tableEvidence?: {
      tableName: string;         // "Table 1"
      relevantCells: string[];   // 逶ｸ蜈ｳ蜊募<E89C8A>譬ｼ蜀<EFBDBC>ｮ?
      interpretation: string;    // 蟇ｹ陦ｨ譬ｼ逧<EFBDBC>ｧ｣隸ｻ
    };
    
    figureEvidence?: {
      figureName: string;        // "Figure 1"
      caption: string;
      relevantInfo: string;
    };
  };
  
  // 箝?譁ｰ蠅橸ｼ壼ｮ梧紛謗ｨ逅<EFBDA8>得
  reasoningChain: {
    cochraneCriteria: string[];  // 蠎皮畑逧Гochrane譬<65>㊥
    keyFindings: string[];       // 蜈ｳ髞ｮ蜿醍鴫
    assessment: string;          // 譛扈亥愛譁?
    confidence: number;
    uncertainties?: string[];    // 荳咲｡ｮ螳壼屏邏?
  };
  
  // 箝?譁ｰ蠅橸ｼ壼庄霑ｽ貅ｯ諤ｧ蜈<EFBDA7>焚謐ｮ
  metadata: {
    extractionTimestamp: string;
    modelUsed: string;
    promptVersion: string;
    processingTime: number;
  };
}

莠後〃1.0謌先悽鬚<EFBFBD>ｮ<EFBFBD>

*蝨ｺ譎ｯ<EFBFBD>?00遽<30><E981BD>譁<EFBFBD>､咲ｭ?

邇ｯ闃<EFBFBD>	Token豸郁?	讓｡蝙<EFBFBD>	謌先悽
12蟄玲ｮｵ蛻<EFBFBD>ｮｵ謠仙叙<EFBFBD>亥曙讓｡蝙具ｼ?	12K	DeepSeek-V3 + Qwen3-Max	ﾂ･0.06/遽?
蜈ｨ譁<EFBFBD>ｺ､蜿蛾ｪ瑚ｯ<EFBFBD>	3K	DeepSeek-V3	ﾂ･0.003/遽?
蜈ｳ髞ｮ蟄玲ｮｵ陦･蜈<EFBFBD>署蜿厄ｼ?0%<25>?	2K	Qwen3-Max	ﾂ･0.016/遽<>ｼ井ｻ?0%譁<>鍵<EFBFBD>?
*100遽<EFBFBD>ｻ謌先<EFBFBD>?	-	-	ﾂ･7.9

雍ｨ驥乗署蜊<EFBFBD><EFBFBD>壼㊥遑ｮ邇<EFBFBD> 85% 竊?92%
謌先悽蠅槫刈<EFBFBD>堋? 竊?ﾂ･8<EFBDA5>?33%<25>御ｽ<E5BEA1>ｴｨ驥乗仞闡玲署蜊<E7BDB2>ｼ?

荳峨〃1.0鬪梧噺譬<EFBFBD>㊥

謖<EFBFBD><EFBFBD><EFBFBD>	逶ｮ譬<EFBFBD>	鬪瑚ｯ∵婿豕<EFBFBD>
蜃<EFBFBD>｡ｮ邇<EFBFBD>ｼ井ｺｺ蟾･謚ｽ譟･<EFBFBD>?	竕?92%	髫乗惻謚ｽ譟･50遽<EFBFBD>ｼ御ｸ灘ｮｶ隸<EFBFBD>ｼｰ
菫｡諱ｯ螳梧紛邇?	竕?95%	12蟄玲ｮｵ蝮<EFBFBD>怏譛画譜扈捺棡
隸∵紺體ｾ螳梧紛諤?	100%	豈丈ｸｪ蟄玲ｮｵ譛芽ｯｦ扈<EFBFBD>ｯ∵紺蜥梧耳逅<EFBFBD><EFBFBD>?
驕玲ｼ丈ｿ｡諱ｯ譽蜃ｺ邇<EFBFBD>	竕?80%	莠､蜿蛾ｪ瑚ｯ∝書邇ｰ逧<EFBFBD>＠貍乗ｯ比ｾ?
騾ｻ霎題ｧ<EFBFBD><EFBFBD>隕<EFBFBD>尠邇?	竕?80%	隗<EFBFBD><EFBFBD>蠑墓梼譽譟･騾夊ｿ<EFBFBD><EFBFBD>?
莠ｺ蟾･螟肴<EFBFBD>ｸ髦溷<EFBFBD>	竕?25%	髴隕∽ｺｺ蟾･莉句<EFBFBD>逧<EFBFBD>枚迪ｮ蜊<EFBFBD>豈<EFBFBD>

<EFBFBD>醇 V2.0 髦ｶ谿ｵ<E8B0BF>? 蜻ｨ<E89CBB><EFBDA8>

逶ｮ譬<EFBFBD>ｮ壻ｽ<EFBFBD>

**蜃<>｡ｮ邇<EFBDAE>岼譬?*<2A>壺翁 96%<25>亥現蟄ｦ郤ｧ譬<EFBDA7>㊥<EFBFBD>?
**莠ｺ譛ｺ荳閾ｴ諤?*<2A>咾ohen's Kappa 竕?0.90
謌先悽鬚<EFBFBD>ｮ<EFBFBD><EFBFBD>壽潔髴驟咲ｽｮ<EFBFBD>郁ｴｨ驥丈ｼ伜<EFBFBD><EFBFBD><EFBFBD>
莠､莉俶<EFBFBD><EFBFBD>㊥<EFBFBD>夊<EFBFBD>蜉ｨ蛹冶ｴｨ驥丞ｮ｡隶｡<EFBFBD>檎ｬｦ蜷<EFBFBD>ochrane蜿題｡ｨ譬<EFBFBD>㊥

荳縲∝現蟄ｦ郤ｧ雍ｨ驥丈ｿ晞囿

1.1 笨?荳画ｨ｡蝙倶ｻｲ陬∵惻蛻?

**蜈ｳ髞ｮ蟄玲ｮｵ蜀ｲ遯∵慮<E288B5>悟星逕ｨ隨ｬ荳画婿莉ｲ陬?*<2A>?

async function threeModelArbitration(
  conflict: FieldConflict,
  relevantContent: string
) {
  
  // 隨ｬ荳画婿莉ｲ陬<EFBDB2>ｼ咾laude-4.5<EFBFBD>磯ｫ倩ｴｨ驥乗ｨ｡蝙具ｼ?
  const arbitrationPrompt = `
菴<EFBFBD>譏ｯCochrane邉ｻ扈溯ｯ<EFBFBD>ｻｷ荳灘ｮｶ<EFBFBD>檎鴫譛我ｸ､荳ｪAI讓｡蝙句ｯｹ蜷御ｸ蟄玲ｮｵ逧<EFBFBD>愛譁ｭ蟄伜惠蜀ｲ遯<EFBFBD>ｼ<EFBFBD>
隸ｷ菴<EFBFBD>莉主ｾｪ隸∝現蟄ｦ逧<EFBFBD>ｧ貞ｺｦ扈吝<EFBFBD>譚<EFBFBD>ｨ∝愛譁ｭ縲?

縲仙<EFBFBD>遯∝ｭ玲ｮｵ縲托ｼ<EFBFBD>${conflict.field}

縲先ｨ｡蝙帰蛻､譁ｭ縲托ｼ<EFBFBD>${conflict.modelA.assessment}
隸∵紺<EFBFBD>?{conflict.modelA.evidence.quote}
逅<EFBFBD>罰<EFBFBD>?{conflict.modelA.reasoning}
鄂ｮ菫｡蠎ｦ<EFBFBD><EFBFBD>${conflict.modelA.confidence}

縲先ｨ｡蝙毅蛻､譁ｭ縲托ｼ<EFBFBD>${conflict.modelB.assessment}
隸∵紺<EFBFBD>?{conflict.modelB.evidence.quote}
逅<EFBFBD>罰<EFBFBD>?{conflict.modelB.reasoning}
鄂ｮ菫｡蠎ｦ<EFBFBD><EFBFBD>${conflict.modelB.confidence}

縲仙次譁<EFBFBD>托ｼ<EFBFBD>
${relevantContent}

縲蝉ｻｲ陬∽ｻｻ蜉｡縲托ｼ<EFBFBD>
1. 譬ｹ謐ｮCochrane RoB 2.0譬<EFBFBD>㊥<EFBFBD>檎ｻ吝<EFBFBD>菴<EFBFBD>逧<EFBFBD>愛譁?
2. 蛻<>梵荳､荳ｪ讓｡蝙狗噪蛻､譁ｭ<E8AD81>梧欠蜃ｺ蜩ｪ荳ｪ譖ｴ蜃<EFBDB4>｡ｮ<EFBDA1>域<EFBFBD>驛ｽ荳榊㊥遑ｮ<E98191><EFBDAE>
3. 蠑慕畑Cochrane謇句<E8AC87>逶ｸ蜈ｳ譚｡谺ｾ謾ｯ謖∽ｽ<E288BD>逧<EFBFBD>愛譁ｭ
4. 螯よ棡莉堺ｸ咲｡ｮ螳夲ｼ梧<EFBDBC>遑ｮ謖<EFBDAE><E8AC96>髴隕∽ｺｺ蟾･螟肴<E89E9F>ｸ逧<EFBDB8>次蝗<E6ACA1>

縲占ｾ灘<EFBFBD>譬ｼ蠑上托ｼ哽SON
  `;
  
  const arbitrationResult = await llmService.chat(
    'claude-4.5',
    arbitrationPrompt
  );
  
  return {
    field: conflict.field,
    arbitrator: 'claude-4.5',
    finalJudgment: arbitrationResult.assessment,
    analysis: {
      modelAAccuracy: arbitrationResult.modelA_correct,
      modelBAccuracy: arbitrationResult.modelB_correct,
      correctModel: arbitrationResult.agree_with,
      cochraneCitation: arbitrationResult.cochrane_reference
    },
    confidence: arbitrationResult.confidence,
    stillNeedsHumanReview: arbitrationResult.confidence < 0.9
  };
}

謌先悽謗ｧ蛻ｶ<EFBFBD>?

莉<EFBFBD>惠蜈ｳ髞ｮ蟄玲ｮｵ蜀ｲ遯∵慮蜷ｯ逕ｨ<EFBFBD>磯｢<EFBFBD>ｮ｡10-15%<25>?
蜊墓ｬ｡莉ｲ陬∵<EFBFBD>譛ｬ<EFBFBD>堋?.02<EFBFBD><EFBFBD>laude-4.5<EFBFBD>?
100遽<EFBFBD>ｻ鬚晏､匁<EFBFBD>譛ｬ<EFBFBD>堋･2-3

1.2 笨?HITL譎ｺ閭ｽ蛻<EFBDBD>ｵ<EFBFBD>

蝓ｺ莠手ｧ<EFBFBD><EFBFBD>逧<EFBFBD>匱閭ｽ莨伜<EFBFBD>郤ｧ謗貞ｺ<EFBFBD><EFBFBD>?

function intelligentTriage(
  extractionResult: ExtractionResult,
  validationReport: ValidationReport,
  arbitrationResults?: ArbitrationResult[]
): TriageDecision {
  
  let priority = 0;
  let needReview = false;
  const reasons = [];
  
  // 隗<><E99A97>1<EFBFBD>壻ｸ画ｨ｡蝙倶ｻ堺ｸ堺ｸ閾?竊?譛鬮倅ｼ伜<EFBDBC>郤ｧ
  if (arbitrationResults?.some(a => a.stillNeedsHumanReview)) {
    priority = 100;
    needReview = true;
    reasons.push('荳画ｨ｡蝙倶ｻｲ陬∝錘莉榊ｭ伜惠荳咲｡ｮ螳壽?);
  }
  
  // 隗<><E99A97>2<EFBFBD>壼<EFBFBD>髞ｮ蟄玲ｮｵ雍ｨ驥城琉鬚?竊?鬮倅ｼ伜<EFBDBC>郤ｧ
  const criticalIssues = validationReport.violations.filter(v =>
    v.severity === 'error' && 
    FIELD_IMPORTANCE.critical.includes(v.field)
  );
  if (criticalIssues.length > 0) {
    priority = Math.max(priority, 90);
    needReview = true;
    reasons.push(`蜈ｳ髞ｮ蟄玲ｮｵ蟄伜惠雍ｨ驥城琉鬚<E79089>: ${criticalIssues.map(i => i.field).join(', ')}`);
  }
  
  // 隗<><E99A97>3<EFBFBD>啌CT遐皮ｩｶ 竊?荳ｭ遲我ｼ伜<EFBDBC>郤ｧ<E983A4>郁ｴｨ驥剰ｦ∵ｱるｫ假ｼ<E58187>
  if (extractionResult.遐皮ｩｶ隶ｾ隶｡.includes('RCT')) {
    priority = Math.max(priority, 70);
    // RCT螯よ棡鄂ｮ菫｡蠎ｦ菴取燕髴隕∝､肴<EFBDA4>?
    if (extractionResult.overallConfidence < 0.9) {
      needReview = true;
      reasons.push('RCT遐皮ｩｶ菴<EFBFBD>紛菴鍋ｽｮ菫｡蠎ｦ菴惹ｺ<EFBFBD>0.9');
    }
  }
  
  // 隗<><E99A97>4<EFBFBD>壼<EFBFBD>髞ｮ扈灘ｱ謖<C280><E8AC96><EFBFBD>ｼ域ｭｻ莠｡邇<EFBDA1>ｼ俄<EFBDBC> 鬮倅ｼ伜<EFBDBC>郤ｧ
  if (extractionResult.扈灘ｱ謖<C280><E8AC96><EFBFBD>.includes('豁ｻ莠｡') || 
      extractionResult.扈灘ｱ謖<C280><E8AC96><EFBFBD>.includes('mortality')) {
    priority = Math.max(priority, 80);
    if (extractionResult.扈捺棡螳梧紛諤?!== '螳梧紛') {
      needReview = true;
      reasons.push('蜈ｳ髞ｮ扈灘ｱ謖<EFBFBD><EFBFBD><EFBFBD>ｼ域ｭｻ莠｡邇<EFBFBD>ｼ我ｽ<EFBFBD>ｻ捺棡螳梧紛諤ｧ譛蛾琉鬚<EFBFBD>');
    }
  }
  
  // 隗<><E99A97>5<EFBFBD>夐ｫ倡ｽｮ菫｡蠎?+ 譌<>蜀ｲ遯?竊?閾ｪ蜉ｨ騾夊ｿ<E5A48A>
  if (extractionResult.overallConfidence > 0.95 && 
      validationReport.violations.length === 0 &&
      !arbitrationResults) {
    priority = 10;
    needReview = false;
    reasons.push('鬮倩ｴｨ驥乗署蜿厄ｼ梧裏髴莠ｺ蟾･螟肴<EFBFBD>ｸ');
  }
  
  // 隗<><E99A97>6<EFBFBD>壼書陦ｨ蝨ｨ鬘ｶ郤ｧ譛溷<E8AD9B> 竊?髯堺ｽ主､肴<EFBDA4>ｸ莨伜<E88EA8>郤?
  const topJournals = ['NEJM', 'Lancet', 'JAMA', 'BMJ'];
  if (topJournals.some(j => extractionResult.metadata.journal?.includes(j))) {
    priority = Math.max(0, priority - 20);
    reasons.push('蜿題｡ｨ蝨ｨ鬘ｶ郤ｧ譛溷<EFBFBD><EFBFBD>梧婿豕募ｭｦ雍ｨ驥城壼ｸｸ霎<EFBFBD>ｫ<EFBFBD>');
  }
  
  return {
    priority,
    needReview,
    reasons,
    estimatedReviewTime: estimateReviewTime(extractionResult, needReview),
    reviewDeadline: calculateDeadline(priority)
  };
}

1.3 笨?閾ｪ蜉ｨ雍ｨ驥丞ｮ｡隶｡

螳壽悄謇ｹ驥乗歓譟･<EFBFBD>?0%<25>会ｼ瑚<EFBDBC>蜉ｨ逕滓<E98095>雍ｨ驥乗冠蜻<E586A0><EFBFBD>?

// 豈丞捉閾ｪ蜉ｨ螳｡隶｡
async function weeklyQualityAudit(
  startDate: Date,
  endDate: Date
): Promise<QualityAuditReport> {
  
  // 1. 闔ｷ蜿匁悽蜻ｨ謇譛画署蜿也ｻ捺<EFBDBB>?
  const weeklyExtractions = await db.fulltextScreeningResults.findMany({
    where: {
      createdAt: { gte: startDate, lte: endDate }
    }
  });
  
  // 2. 髫乗惻謚ｽ譬ｷ10%
  const sampleSize = Math.ceil(weeklyExtractions.length * 0.1);
  const sample = randomSample(weeklyExtractions, sampleSize);
  
  // 3. 莠ｺ蟾･螟肴<E89E9F>ｸ譬ｷ譛ｬ
  const humanReviews = await requestHumanReview(sample);
  
  // 4. 隶｡邂苓ｴｨ驥乗欠譬<E6ACA0>
  const metrics = {
    蜃<EFBFBD>｡ｮ邇? calculateAccuracy(sample, humanReviews),
    莠ｺ譛ｺ荳閾ｴ諤? calculateCohenKappa(sample, humanReviews),
    蛛<EFBFBD>亠諤ｧ邇<EFBFBD>: calculateFalsePositiveRate(sample, humanReviews),
    蛛<EFBFBD>亢諤ｧ邇<EFBFBD>: calculateFalseNegativeRate(sample, humanReviews),
    
    // 蛻<>ｭ玲ｮｵ蜃<EFBDB5>｡ｮ邇<EFBDAE>
    蟄玲ｮｵ蜃<EFBFBD>｡ｮ邇? FIELD_LIST.map(field => ({
      field,
      accuracy: calculateFieldAccuracy(field, sample, humanReviews)
    }))
  };
  
  // 5. 讓｡蝙区ｧ閭ｽ蟇ｹ豈<EFBDB9>
  const modelPerformance = {
    'deepseek-v3': analyzeModelPerformance('deepseek-v3', sample, humanReviews),
    'qwen-max': analyzeModelPerformance('qwen-max', sample, humanReviews),
    'claude-4.5': analyzeModelPerformance('claude-4.5', sample, humanReviews)
  };
  
  // 6. 髣ｮ鬚伜<E9AC9A>譫<EFBFBD>
  const issues = identifyCommonIssues(sample, humanReviews);
  
  // 7. 謾ｹ霑帛ｻｺ隶ｮ
  const recommendations = generateRecommendations(metrics, issues);
  
  return {
    period: { start: startDate, end: endDate },
    totalExtractions: weeklyExtractions.length,
    sampledExtractions: sampleSize,
    metrics,
    modelPerformance,
    issues,
    recommendations,
    generatedAt: new Date()
  };
}

// 閾ｪ蜉ｨ隸<EFBDA8>悪蟶ｸ隗<EFBDB8>琉鬚<E79089>
function identifyCommonIssues(
  sample: Extraction[],
  humanReviews: HumanReview[]
): Issue[] {
  
  const issues = [];
  
  // 髣ｮ鬚<EFBDAE>1<EFBFBD>壽汾荳ｪ蟄玲ｮｵ髞呵ｯｯ邇<EFBDAF>ｫ?
  for (const field of FIELD_LIST) {
    const fieldErrors = countFieldErrors(field, sample, humanReviews);
    if (fieldErrors / sample.length > 0.15) {  // 髞呵ｯｯ邇?15%
      issues.push({
        type: 'high_field_error_rate',
        field,
        errorRate: fieldErrors / sample.length,
        examples: getErrorExamples(field, sample, humanReviews, 3),
        recommendation: `莨伜喧蟄玲ｮｵ"${field}"逧Пrompt讓｡譚ｿ謌芳ew-shot譯井ｾ義
      });
    }
  }
  
  // 髣ｮ鬚<EFBDAE>2<EFBFBD>夂音螳夂ｱｻ蝙狗<E89D99>皮ｩｶ髞呵ｯｯ邇<EFBDAF>ｫ?
  const studyTypeErrors = analyzeByStudyType(sample, humanReviews);
  for (const [studyType, errorRate] of Object.entries(studyTypeErrors)) {
    if (errorRate > 0.15) {
      issues.push({
        type: 'high_study_type_error_rate',
        studyType,
        errorRate,
        recommendation: `蠅槫刈"${studyType}"邀ｻ蝙狗<EFBFBD>皮ｩｶ逧Ёew-shot譯井ｾ義
      });
    }
  }
  
  // 髣ｮ鬚<EFBDAE>3<EFBFBD>夂音螳壽ｨ｡蝙玖｡ｨ邇ｰ蟾ｮ
  const modelErrors = analyzeByModel(sample, humanReviews);
  for (const [model, errorRate] of Object.entries(modelErrors)) {
    if (errorRate > 0.15) {
      issues.push({
        type: 'model_underperformance',
        model,
        errorRate,
        recommendation: `閠<>剔隹<E58994>紛讓｡蝙<EFBDA1>"${model}"逧<>盾謨ｰ謌匁峩謐｢讓｡蝙義
      });
    }
  }
  
  return issues;
}

雍ｨ驥乗冠陦ｨ遉ｺ萓<EFBFBD><EFBFBD>?

# 蜈ｨ譁<EFBDA8>､咲ｭ幄ｴｨ驥丞ｮ｡隶｡謚･蜻<EFBDA5>

**螳｡隶｡蜻ｨ譛<EFBDA8>**<EFBFBD>?025-11-15 閾?2025-11-22  
**諤ｻ謠仙叙謨ｰ**<EFBFBD>?48遽? 
**謚ｽ譬ｷ謨?*<2A>?5遽<35>ｼ<EFBFBD>10.1%<25>?

## 謨ｴ菴楢ｴｨ驥乗欠譬<E6ACA0>

| 謖<><E8AC96><EFBFBD> | 譛ｬ蜻ｨ | 荳雁捉 | 雜句漢 |
|------|------|------|------|
| 蜃<>｡ｮ邇?| 94.7% | 93.2% | 竊?+1.5% |
| Cohen's Kappa | 0.89 | 0.87 | 竊?+0.02 |
| 蛛<>亠諤ｧ邇<EFBDA7> | 3.1% | 4.2% | 竊?-1.1% |
| 蛛<>亢諤ｧ邇<EFBDA7> | 2.2% | 2.6% | 竊?-0.4% |

## 蛻<>ｭ玲ｮｵ蜃<EFBDB5>｡ｮ邇<EFBDAE>

| 蟄玲ｮｵ | 蜃<>｡ｮ邇?| 迥ｶ諤?|
|------|--------|------|
| 遐皮ｩｶ隶ｾ隶｡ | 100% | 笨?莨倡ｧ |
| 髫乗惻蛹匁婿豕?| 93.3% | 笨?濶ｯ螂ｽ |
| 逶ｲ豕<EFBDB2> | 86.7% | 笞<><E7AC9E><EFBFBD> 髴謾ｹ霑<EFBDB9> |
| 蝓ｺ郤ｿ蜿ｯ豈疲?| 100% | 笨?莨倡ｧ |
| 扈捺棡螳梧紛諤?| 93.3% | 笨?濶ｯ螂ｽ |
| ... | ... | ... |

## 讓｡蝙区ｧ閭ｽ蟇ｹ豈<EFBDB9>

| 讓｡蝙<EFBDA1> | 蜃<>｡ｮ邇?| 蟷ｳ蝮<EFBDB3>ｽｮ菫｡蠎?| 螟<>炊譌ｶ髣ｴ |
|------|--------|-----------|----------|
| DeepSeek-V3 | 92.1% | 0.87 | 45s |
| Qwen3-Max | 94.5% | 0.91 | 38s |
| Claude-4.5<EFBFBD>井ｻｲ陬<EFBFBD>ｼ<EFBFBD> | 97.2% | 0.94 | 62s |

## 蜿醍鴫逧<E9B4AB>琉鬚?

1. **蟄玲ｮｵ"逶ｲ豕<EFBDB2>"髞呵ｯｯ邇<EFBDAF>￥鬮假ｼ<E58187>13.3%<25>?*
   - 蟶ｸ隗<EFBDB8>漠隸ｯ<E99AB8>壼ｰ<E5A3BC>"蜊慕峇"隸ｯ蛻､荳?螳梧紛"
   - 蜴溷屏蛻<E5B18F>梵<EFBFBD>啀rompt譛ｪ譏守｡ｮ蛹ｺ蛻<EFBDBA>黒逶?蜿檎峇逧<E5B387>ｴｨ驥丞ｷｮ蠑?
   - 謾ｹ霑帛ｻｺ隶ｮ<E99AB6>壽峩譁ｰPrompt<70>悟｢槫<EFBDA2>?蜊慕峇騾壼ｸｸ荳崎ｶｳ莉･髦ｲ豁｢譽豬句￥蛟?逧<>ｯｴ譏?

2. **髦溷<E9ABA6>遐皮ｩｶ謠仙叙蜃<E58F99>｡ｮ邇<EFBDAE>ｽ惹ｺ山CT<43>?9% vs 96%<25>?*
   - 蜴溷屏蛻<E5B18F>梵<EFBFBD>夐弌蛻礼<E89BBB>皮ｩｶ逧<EFBDB6>婿豕募ｭｦ謠剰ｿｰ譖ｴ轣ｵ豢ｻ<E8B1A2>梧<EFBFBD><E6A2A7>㊥蛹也ｨ句ｺｦ菴?
   - 謾ｹ霑帛ｻｺ隶ｮ<E99AB6>壼｢槫<EFBDA2>?荳ｪ髦溷<E9ABA6>遐皮ｩｶ逧Ёew-shot譯井ｾ<E4BA95>

## 謾ｹ霑帛ｻｺ隶ｮ

1. 笨?遶句叉謇ｧ陦鯉ｼ壽峩譁?逶ｲ豕<EFBDB2>"蟄玲ｮｵPrompt讓｡譚ｿ
2. 笞?譛ｬ蜻ｨ蜀<EFBDA8>ｼ壼｢槫刈髦溷<E9ABA6>遐皮ｩｶFew-shot譯井ｾ句ｺ?
3. <20>套 荳句捉<E58FA5>夐㍾譁ｰ隸<EFBDB0>ｼ?逶ｲ豕<EFBDB2>"蟄玲ｮｵ蜃<EFBDB5>｡ｮ邇?

## 荳句捉逶ｮ譬<EFBDAE>

- 蜃<>｡ｮ邇<EFBDAE>ｼ壺<EFBDBC>?95%
- Cohen's Kappa<70>壺翁 0.90
- "逶ｲ豕<EFBDB2>"蟄玲ｮｵ蜃<EFBDB5>｡ｮ邇<EFBDAE>ｼ壺<EFBDBC>?93%

1.4 笨?Prompt迚域悽邂｡逅<EFBDA1>

Git邂｡逅<EFBFBD>署遉ｺ隸肴ｨ｡譚ｿ<EFBFBD>梧髪謖、/B豬玖ｯ<E78E96><EFBFBD>?

backend/prompts/asl/fulltext_screening/
笏懌楳笏 changelog.md
笏懌楳笏 fields/
笏?  笏懌楳笏 髫乗惻蛹匁婿豕?
笏?  笏?  笏懌楳笏 v1.0.0-basic.md
笏?  笏?  笏懌楳笏 v1.1.0-with-examples.md
笏?  笏?  笏懌楳笏 v1.2.0-cot.md
笏?  笏?  笏披楳笏 v1.3.0-enhanced-cochrane.md  竊?蠖灘燕迚域悽
笏?  笏懌楳笏 逶ｲ豕<EFBDB2>/
笏?  笏?  笏懌楳笏 v1.0.0-basic.md
笏?  笏?  笏懌楳笏 v1.1.0-clarify-single-double.md  竊?謾ｹ霑帷<E99C91>?
笏?  笏?  笏披楳笏 ...
笏?  笏披楳笏 ...
笏披楳笏 tests/
    笏披楳笏 benchmark_results.json

**謨ｰ謐ｮ蠎楢ｮｰ蠖?*<2A>?

model PromptVersion {
  id              String   @id @default(uuid())
  
  field           String   // "髫乗惻蛹匁婿豕?
  version         String   // "v1.3.0"
  content         String   @db.Text
  changelog       String   // "蠅槫ｼｺCochrane譬<65>㊥謠剰ｿｰ<EFBDBF>梧ｷｻ蜉?荳ｪFew-shot譯井ｾ<E4BA95>"
  
  // 諤ｧ閭ｽ謖<EFBDBD><E8AC96><EFBFBD>ｼ<EFBFBD>/B豬玖ｯ慕ｻ捺棡<E68DBA>?
  accuracy        Float?   // 0.947
  usageCount      Int      @default(0)
  avgConfidence   Float?
  
  // 迥ｶ諤?
  isActive        Boolean  @default(false)
  isExperimental  Boolean  @default(false)
  
  createdAt       DateTime @default(now())
  deactivatedAt   DateTime?
  
  @@map("asl_prompt_versions")
}

A/B豬玖ｯ<E78E96><EFBFBD>?

// 20%豬<>㍼菴ｿ逕ｨ譁ｰ迚<EFBDB0>rompt
async function extractFieldWithABTest(
  field: string,
  content: string
) {
  const isExperimentGroup = Math.random() < 0.2;
  
  const promptVersion = isExperimentGroup
    ? await getPromptVersion(field, 'experimental')
    : await getPromptVersion(field, 'stable');
  
  const result = await llmService.chat(
    'deepseek-v3',
    promptVersion.content,
    content
  );
  
  // 隶ｰ蠖穂ｽｿ逕ｨ
  await trackPromptUsage({
    field,
    version: promptVersion.version,
    isExperiment: isExperimentGroup,
    result
  });
  
  return result;
}

// 豈丞捉蛻<E68D89>梵A/B豬玖ｯ慕ｻ捺棡
async function analyzeABTest(field: string): Promise<ABTestReport> {
  const stableResults = await getPromptUsageStats(field, 'stable');
  const experimentResults = await getPromptUsageStats(field, 'experimental');
  
  const improvement = {
    accuracy: experimentResults.accuracy - stableResults.accuracy,
    confidence: experimentResults.avgConfidence - stableResults.avgConfidence,
    processingTime: experimentResults.avgTime - stableResults.avgTime
  };
  
  // 扈溯ｮ｡譏ｾ闡玲ｧ譽鬪?
  const isSignificant = performTTest(stableResults, experimentResults);
  
  return {
    field,
    stableVersion: stableResults.version,
    experimentVersion: experimentResults.version,
    sampleSize: {
      stable: stableResults.count,
      experiment: experimentResults.count
    },
    improvement,
    isSignificant,
    recommendation: isSignificant && improvement.accuracy > 0.02
      ? 'promote_to_stable'  // 謠仙合荳ｺ遞ｳ螳夂沿
      : 'continue_testing'   // 扈ｧ扈ｭ豬玖ｯ<E78E96>
  };
}

莠後〃2.0謌先悽鬚<EFBFBD>ｮ<EFBFBD>

蝨ｺ譎ｯ<EFBFBD>?00遽<30><E981BD>譁<EFBFBD>､咲ｭ幢ｼ磯ｫ倩ｴｨ驥城｡ｹ逶ｮ<E980B6><EFBDAE>

邇ｯ闃<EFBFBD>	Token豸郁?	讓｡蝙<EFBFBD>	謌先悽
12蟄玲ｮｵ蛻<EFBFBD>ｮｵ謠仙叙<EFBFBD>亥曙讓｡蝙具ｼ?	12K	DeepSeek-V3 + Qwen3-Max	ﾂ･0.06/遽?
蜈ｨ譁<EFBFBD>ｺ､蜿蛾ｪ瑚ｯ<EFBFBD>	3K	DeepSeek-V3	ﾂ･0.003/遽?
蜈ｳ髞ｮ蟄玲ｮｵ荳画ｨ｡蝙倶ｻｲ陬<EFBFBD>ｼ<EFBFBD>15%<25>?	3K	Claude-4.5	ﾂ･0.03/遽<>ｼ井ｻ?5%<25>?
雍ｨ驥丞ｮ｡隶｡<EFBFBD>?0%謚ｽ譟･<E8AD9F>?	2K	莠ｺ蟾･	10蛻<EFBFBD>帖/遽?
*100遽<EFBFBD>ｻ謌先<EFBFBD>?	-	-	ﾂ･10 + 莠ｺ蟾･謌先悽

雍ｨ驥乗署蜊<EFBFBD><EFBFBD>壼㊥遑ｮ邇<EFBFBD> 92% 竊?96%
謌先悽蠅槫刈<EFBFBD>堋? 竊?ﾂ･10<31>?25%<25>御ｽ<E5BEA1>ｾｾ蛻ｰ蛹ｻ蟄ｦ郤ｧ譬<EFBDA7>㊥<EFBFBD><E38AA5>

荳峨〃2.0鬪梧噺譬<EFBFBD>㊥

謖<EFBFBD><EFBFBD><EFBFBD>	逶ｮ譬<EFBFBD>	鬪瑚ｯ∵婿豕<EFBFBD>
蜃<EFBFBD>｡ｮ邇<EFBFBD>ｼ井ｸ灘ｮｶ隸<EFBFBD>ｼｰ<EFBFBD>?	竕?96%	莠ｺ蟾･謚ｽ譟･100遽?
莠ｺ譛ｺ荳閾ｴ諤?	Cohen's Kappa 竕?0.90	扈溯ｮ｡蛻<EFBFBD>梵
蛛<EFBFBD>亠諤ｧ邇<EFBFBD>	竕?3%	扈溯ｮ｡蛻<EFBFBD>梵
蛛<EFBFBD>亢諤ｧ邇<EFBFBD>	竕?2%	扈溯ｮ｡蛻<EFBFBD>梵
隸∵紺體ｾ螳梧紛諤?	100%	閾ｪ蜉ｨ譽譟?
閾ｪ蜉ｨ蛹門ｮ｡隶?	豈丞捉1谺?	邉ｻ扈滓冠陦ｨ
Prompt迚域悽邂｡逅<EFBFBD>	100%	Git蜴<EFBFBD>彰霑ｽ雕ｪ
隨ｦ蜷<EFBFBD>ochrane譬<EFBFBD>㊥	竕?95%	荳灘ｮｶ隶､隸<EFBFBD>

<EFBFBD>投荳蛾亳谿ｵ蟇ｹ豈疲ｻ扈<EFBDBB>

扈ｴ蠎ｦ	MVP	V1.0	V2.0
*蜃<EFBFBD>｡ｮ邇?	85%	92%	96%
譬ｸ蠢<EFBFBD>ｭ也払	Nougat+蛻<>ｮｵ謠仙叙	+蜈ｨ譁<EFBDA8>ｪ瑚ｯ<E7919A>+騾ｻ霎題ｧ<E9A18C><EFBDA7>	+荳画ｨ｡蝙倶ｻｲ陬?螳｡隶｡
*隸∵紺體?	蝓ｺ譛ｬ蠑慕畑	螳梧紛螳壻ｽ<EFBFBD>	螳｡隶｡郤ｧ譌･蠢?
雍ｨ驥乗而蛻ｶ	蜿梧ｨ｡蝙矩ｪ瑚ｯ?	蛹ｻ蟄ｦ騾ｻ霎大ｼ墓梼	HITL+閾ｪ蜉ｨ螳｡隶｡
*謌先悽/100遽?	ﾂ･6	ﾂ･8	ﾂ･10
*蠑蜿大捉譛?	3蜻?	5蜻?	8蜻?
騾ら畑蝨ｺ譎ｯ	蠢ｫ騾滄ｪ瑚ｯ?	蟶ｸ隗<EFBFBD>｡ｹ逶ｮ	Cochrane蜿題｡ｨ

<EFBFBD>売螳樊命霍ｯ蠕<EFBDAF>

髦ｶ谿ｵ1<EFBFBD>哺VP蠑蜿托ｼ<EFBFBD>eek 1-3<>?

Week 1<EFBFBD>壼渕遑譫ｶ譫<EFBFBD>

PDF蟄伜お譛榊苅<EFBFBD>亥ｷｲ螳梧<EFBFBD><EFBFBD>俄怛
Nougat謠仙叙+遶<>闃りｧ｣譫<EFBDA3>
12蟄玲ｮｵ霍ｯ逕ｱ陦ｨ隶ｾ隶?
蝓ｺ遑Prompt讓｡譚ｿ<EFBFBD>?2荳ｪ蟄玲ｮｵ<EFBDAE><EFBDB5>

Week 2<EFBFBD>壽<EFBFBD>ｸ蠢<EFBFBD>粥閭?

蛻<EFBFBD>ｮｵ蟷ｶ陦梧署蜿<EFBFBD>
蜿梧ｨ｡蝙玖ｰ<EFBFBD><EFBFBD>?
蟄玲ｮｵ郤ｧ蜀ｲ遯∵｣豬?
蝓ｺ遑隸∵紺體?

Week 3<EFBFBD>壼燕遶?豬玖ｯ<E78E96>

蜑咲ｫｯ蟾･菴懷<EFBFBD>?
蜀ｲ遯∝ｯｹ豈碑ｧ<EFBFBD>崟
莠ｺ蟾･螟肴<EFBFBD>ｸ逡碁擇
蜉溯<EFBFBD>豬玖ｯ<EFBFBD>+蜃<>｡ｮ邇<EFBDAE>ｯ<EFBFBD>ｼ?

髦ｶ谿ｵ2<EFBFBD>啖1.0蠅槫ｼｺ<EFBFBD><EFBFBD>eek 4-8<>?

Week 4-5<EFBFBD>夊ｴｨ驥乗署蜊?

Cochrane譬<EFBFBD>㊥Prompt蠅槫ｼｺ
Few-shot蛹ｻ蟄ｦ譯井ｾ句ｺ難ｼ域ｯ丞ｭ玲ｮ?-5荳ｪ<E88DB3><EFBDAA>
CoT謗ｨ逅<EFBFBD>｢槫ｼｺ

Week 6-7<EFBFBD>夐ｪ瑚ｯ∵惻蛻?

蜈ｨ譁<EFBFBD>ｺ､蜿蛾ｪ瑚ｯ<EFBFBD>
蛹ｻ蟄ｦ騾ｻ霎題ｧ<EFBFBD><EFBFBD>蠑墓梼
螳梧紛隸∵紺體?

Week 8<EFBFBD>壻ｼ伜<EFBFBD>?譁<>｡｣

諤ｧ閭ｽ莨伜喧
A/B豬玖ｯ<E78E96>
譁<EFBFBD>｡｣螳悟埋

髦ｶ谿ｵ3<EFBFBD>啖2.0螳悟埋<EFBFBD><EFBFBD>eek 9-16<31>?

Week 9-11<EFBFBD>夐ｫ倡ｺｧ蜉溯<EFBFBD>?

荳画ｨ｡蝙倶ｻｲ陬?
HITL譎ｺ閭ｽ蛻<EFBFBD>ｵ<EFBFBD>
Prompt迚域悽邂｡逅<EFBFBD>+A/B豬玖ｯ<E78E96>

Week 12-14<EFBFBD>夊ｴｨ驥丞ｮ｡隶?

閾ｪ蜉ｨ螳｡隶｡邉ｻ扈<EFBFBD>
雍ｨ驥乗冠陦ｨ
蠑ょｸｸ譽豬?

Week 15-16<EFBFBD>壼現蟄ｦ荳灘ｮｶ鬪瑚ｯ?

Cochrane荳灘ｮｶ隸<EFBFBD>ｮ｡
蜈ｨ驥乗ｵ玖ｯ<EFBFBD>
蜿大ｸ<EFBFBD>枚譯｣

<EFBFBD>答逶ｸ蜈ｳ譁<EFBDB3>｡｣

譬<EFBFBD>｢俶遭隕∝<EFBFBD>遲幄ｴｨ驥丈ｿ晞囿遲也払
[蜈ｨ譁<EFBDA8>､咲ｭ帛ｼ蜿題ｮ｡蛻綻(../04-蠑蜿題ｮ｡蛻?04-蜈ｨ譁<EFBDA8>､咲ｭ帛ｼ蜿題ｮ｡蛻?md)
謨ｰ謐ｮ蠎楢ｮｾ隶｡
API隶ｾ隶｡隗<EFBFBD>激
莠大次逕溷ｼ蜿題ｧ<EFBFBD>激

譖ｴ譁ｰ譌･蠢<EFBFBD><EFBFBD>?

2025-11-22: 蛻帛ｻｺ譁<EFBDBA>｡｣<EFBDA1>悟ｮ壻ｹ牙<EFBDB9>譁<EFBFBD>､咲ｭ帑ｸ蛾亳谿ｵ雍ｨ驥丈ｿ晞囿遲也払
蝓ｺ莠晒ougat扈捺桷蛹?蛻<>ｮｵ謠仙叙+蜈ｨ譁<EFBDA8>ｪ瑚ｯ∫噪謚譛ｯ譁ｹ譯?
蜿りイochrane RoB 2.0譬<EFBFBD>㊥隶ｾ隶｡荳謎ｸ啀rompt讓｡譚ｿ
蠑ｺ隹<EFBFBD>ｮ梧紛隸∵紺體ｾ蜥悟庄霑ｽ貅ｯ諤?

42 KiB Raw Blame History Unescape Escape

蜈ｨ譁<EFBFBD>､咲ｭ幄ｴｨ驥丈ｿ晞囿荳主庄霑ｽ貅ｯ遲也払

<EFBFBD>搭 譁<>｡｣讎りｿｰ

蜈ｨ譁<EFBFBD>､咲ｭ<EFBFBD> vs 譬<>｢俶遭隕∝<E99A95>遲幢ｼ壽<EFBDBC>ｸ蠢<EFBDB8>ｷｮ蠑?

譬ｸ蠢<EFBFBD>ｮｾ隶｡蜴溷<EFBFBD>

<EFBFBD>識 荳蛾亳谿ｵ霍ｯ郤ｿ蝗ｾ

<EFBFBD>噫 MVP 髦ｶ谿ｵ<E8B0BF>? 蜻ｨ<E89CBB><EFBDA8>

逶ｮ譬<EFBFBD>ｮ壻ｽ<EFBFBD>

荳縲∵<EFBFBD>ｸ蠢<EFBFBD>橿譛ｯ遲也<EFBFBD>?

1.1 笨?Nougat扈捺桷蛹匁署蜿厄ｼ亥<EFBDBC>髞ｮ莨伜漢<E4BC9C>?

1.2 笨?12蟄玲ｮｵ蛻<EFBDB5>ｮｵ謠仙叙<E4BB99>磯∩蜈広ost in the Middle<6C>?

1.3 笨?蜿梧ｨ｡蝙倶ｺ､蜿蛾ｪ瑚ｯ?

1.4 笨?蟄玲ｮｵ郤ｧ蜀ｲ遯∵｣豬倶ｸ主<EFBDB8>郤ｧ螟肴<E89E9F>ｸ

1.5 笨?蝓ｺ遑隸∵紺體ｾ<E9AB94>亥次譁<E6ACA1>ｼ慕畑<E68595>?

莠後?2蟄玲ｮｵ荳謎ｸ啀rompt讓｡譚ｿ<E8AD9A><EFBDBF>VP迚茨ｼ<E88CA8>

遉ｺ萓具ｼ夐囂譛ｺ蛹匁婿豕包ｼ亥<EFBFBD>髞ｮ蟄玲ｮｵ<EFBFBD><EFBFBD>

荳峨｀VP謌先悽鬚<EFBFBD>ｮ<EFBFBD>

蝗帙｀VP鬪梧噺譬<EFBFBD>㊥

<EFBFBD>嶋 V1.0 髦ｶ谿ｵ<E8B0BF>? 蜻ｨ<E89CBB><EFBDA8>

逶ｮ譬<EFBFBD>ｮ壻ｽ<EFBFBD>

荳縲∬ｴｨ驥乗署蜊<EFBFBD>ｭ也<EFBFBD>?

1.1 笨?Cochrane譬<65>㊥Prompt蠅槫ｼｺ

1.2 笨?蜈ｨ譁<EFBDA8>ｺ､蜿蛾ｪ瑚ｯ<E7919A>ｼ磯亟驕玲ｼ擾ｼ?

1.3 笨?蛹ｻ蟄ｦ騾ｻ霎題ｧ<E9A18C><EFBDA7>蠑墓梼

1.4 笨?螳梧紛隸∵紺體ｾ<E9AB94>亥｢槫ｼｺ迚茨ｼ<E88CA8>

莠後〃1.0謌先悽鬚<EFBFBD>ｮ<EFBFBD>

荳峨〃1.0鬪梧噺譬<EFBFBD>㊥

<EFBFBD>醇 V2.0 髦ｶ谿ｵ<E8B0BF>? 蜻ｨ<E89CBB><EFBDA8>

逶ｮ譬<EFBFBD>ｮ壻ｽ<EFBFBD>

荳縲∝現蟄ｦ郤ｧ雍ｨ驥丈ｿ晞囿

1.1 笨?荳画ｨ｡蝙倶ｻｲ陬∵惻蛻?

1.2 笨?HITL譎ｺ閭ｽ蛻<EFBDBD>ｵ<EFBFBD>

1.3 笨?閾ｪ蜉ｨ雍ｨ驥丞ｮ｡隶｡

1.4 笨?Prompt迚域悽邂｡逅<EFBDA1>

莠後〃2.0謌先悽鬚<EFBFBD>ｮ<EFBFBD>

荳峨〃2.0鬪梧噺譬<EFBFBD>㊥

<EFBFBD>投 荳蛾亳谿ｵ蟇ｹ豈疲ｻ扈<EFBDBB>

<EFBFBD>売 螳樊命霍ｯ蠕<EFBDAF>

髦ｶ谿ｵ1<EFBFBD>哺VP蠑蜿托ｼ<EFBFBD>eek 1-3<>?

髦ｶ谿ｵ2<EFBFBD>啖1.0蠅槫ｼｺ<EFBFBD><EFBFBD>eek 4-8<>?

髦ｶ谿ｵ3<EFBFBD>啖2.0螳悟埋<EFBFBD><EFBFBD>eek 9-16<31>?

<EFBFBD>答 逶ｸ蜈ｳ譁<EFBDB3>｡｣

42 KiB

Raw Blame History

<EFBFBD>搭譁<>｡｣讎りｿｰ

<EFBFBD>識荳蛾亳谿ｵ霍ｯ郤ｿ蝗ｾ

荳縲∵<EFBFBD>ｸ蠢<EFBFBD>橿譛ｯ遲也<EFBFBD>?

1.4 笨?蟄玲ｮｵ郤ｧ蜀ｲ遯∵｣豬倶ｸ主<EFBDB8>郤ｧ螟肴<E89E9F>ｸ

1.5 笨?蝓ｺ遑隸∵紺體ｾ<E9AB94>亥次譁<E6ACA1>ｼ慕畑<E68595>?

莠後?2蟄玲ｮｵ荳謎ｸ啀rompt讓｡譚ｿ<E8AD9A><EFBDBF>VP迚茨ｼ<E88CA8>

荳峨｀VP謌先悽鬚<EFBFBD>ｮ<EFBFBD>

蝗帙｀VP鬪梧噺譬<EFBFBD>㊥

荳縲∬ｴｨ驥乗署蜊<EFBFBD>ｭ也<EFBFBD>?

莠後〃1.0謌先悽鬚<EFBFBD>ｮ<EFBFBD>

荳峨〃1.0鬪梧噺譬<EFBFBD>㊥

荳縲∝現蟄ｦ郤ｧ雍ｨ驥丈ｿ晞囿

莠後〃2.0謌先悽鬚<EFBFBD>ｮ<EFBFBD>

荳峨〃2.0鬪梧噺譬<EFBFBD>㊥

<EFBFBD>投荳蛾亳谿ｵ蟇ｹ豈疲ｻ扈<EFBDBB>

<EFBFBD>売螳樊命霍ｯ蠕<EFBDAF>

髦ｶ谿ｵ1<EFBFBD>哺VP蠑蜿托ｼ<EFBFBD>eek 1-3<>?

<EFBFBD>答逶ｸ蜈ｳ譁<EFBDB3>｡｣