feat(rvw,asl): RVW V3.0 smart review + ASL deep research history + stability

RVW module (V3.0 Smart Review Enhancement):
- Add LLM data validation via PromptService (RVW_DATA_VALIDATION)
- Add ClinicalAssessmentSkill with FINER-based evaluation (RVW_CLINICAL)
- Remove all numeric scores from UI (editorial, methodology, overall)
- Implement partial_completed status with Promise.allSettled
- Add error_details JSON field to ReviewTask for granular failure info
- Fix overallStatus logic: warning status now counts as success
- Restructure ForensicsReport: per-table LLM results, remove top-level block
- Refactor ClinicalReport: structured collapsible sections
- Increase all skill timeouts to 300s for long manuscripts (20+ pages)
- Increase DataForensics LLM timeout to 180s, pg-boss to 15min
- Executor default fallback timeout 30s -> 60s

ASL module:
- Add deep research history with sidebar accordion UI
- Implement waterfall flow for historical task display
- Upgrade Unifuncs DeepSearch API from S2 to S3 with fallback
- Add ASL_SR module seed for admin configurability
- Fix new search button inconsistency

Docs:
- Update RVW module status to V3.0
- Update deployment changelist
- Add 0305 deployment summary

DB Migration:
- Add error_details JSONB column to rvw_schema.review_tasks

Tested: All 4 review modules verified, partial completion working
Made-with: Cursor

backend/src/modules/rvw/services/clinicalService.ts

@@ -0,0 +1,75 @@
+/**
+ * RVW稿件审查模块 - 临床专业评估服务
+ * @module rvw/services/clinicalService
+ * 
+ * 使用 PromptService 获取 RVW_CLINICAL prompt
+ * 返回纯 Markdown 报告（无分数）
+ */
+
+import { LLMFactory } from '../../../common/llm/adapters/LLMFactory.js';
+import { ModelType } from '../../../common/llm/adapters/types.js';
+import { logger } from '../../../common/logging/index.js';
+import { prisma } from '../../../config/database.js';
+import { getPromptService } from '../../../common/prompt/index.js';
+
+export interface ClinicalReviewResult {
+  report: string;
+  summary: string;
+}
+
+/**
+ * 临床专业评估
+ * @param text 稿件文本
+ * @param modelType 模型类型
+ * @param userId 用户ID（用于灰度预览判断）
+ * @returns 评估结果（Markdown 报告 + 摘要）
+ */
+export async function reviewClinical(
+  text: string,
+  modelType: ModelType = 'deepseek-v3',
+  userId?: string
+): Promise<ClinicalReviewResult> {
+  try {
+    const promptService = getPromptService(prisma);
+    const { content: systemPrompt, isDraft } = await promptService.get(
+      'RVW_CLINICAL',
+      {},
+      { userId }
+    );
+
+    if (isDraft) {
+      logger.info('[RVW:Clinical] 使用 DRAFT 版本 Prompt（调试模式）', { userId });
+    }
+
+    const messages = [
+      { role: 'system' as const, content: systemPrompt },
+      { role: 'user' as const, content: `请对以下医学稿件进行临床专业评估：\n\n${text}` },
+    ];
+
+    logger.info('[RVW:Clinical] 开始临床专业评估', { modelType });
+    const llmAdapter = LLMFactory.getAdapter(modelType);
+    const response = await llmAdapter.chat(messages, {
+      temperature: 0.3,
+      maxTokens: 8000,
+    });
+    const content = response.content ?? '';
+    logger.info('[RVW:Clinical] 评估完成', {
+      modelType,
+      responseLength: content.length,
+    });
+
+    // 提取摘要：取第一段非标题文本（最多200字）
+    const lines = content.split('\n').filter(l => l.trim() && !l.startsWith('#'));
+    const summary = lines.length > 0
+      ? lines[0].trim().substring(0, 200)
+      : '临床专业评估已完成';
+
+    return { report: content, summary };
+  } catch (error) {
+    logger.error('[RVW:Clinical] 临床专业评估失败', {
+      error: error instanceof Error ? error.message : 'Unknown error',
+      stack: error instanceof Error ? error.stack : undefined,
+    });
+    throw new Error(`临床专业评估失败: ${error instanceof Error ? error.message : 'Unknown error'}`);
+  }
+}