feat(rvw): Implement RVW V2.0 Data Forensics Module - Day 6 StatValidator

Summary:
- Implement L2 Statistical Validator (CI-P consistency, T-test reverse)
- Implement L2.5 Consistency Forensics (SE Triangle, SD>Mean check)
- Add error/warning severity classification with tolerance thresholds
- Support 5+ CI formats parsing (parentheses, brackets, 95% CI prefix)
- Complete Python forensics service (types, config, validator, extractor)

V2.0 Development Progress (Week 2 Day 6):
- Day 1-5: Python service setup, Word table extraction, L1 arithmetic validator
- Day 6: L2 StatValidator + L2.5 consistency forensics (promoted from V2.1)

Test Results:
- Unit tests: 4/4 passed (CI-P, SE Triangle, SD>Mean, T-test)
- Real document tests: 5/5 successful, 2 reasonable WARNINGs

Status: Day 6 completed, ready for Day 7 (Skills Framework)
Co-authored-by: Cursor <cursoragent@cursor.com>

extraction_service/forensics/__init__.py

@@ -0,0 +1,48 @@
+"""
+RVW V2.0 数据侦探模块 (Data Forensics)
+
+提供 Word 文档表格提取和数据验证功能：
+- 表格精准提取（python-docx）
+- L1 算术自洽性验证
+- L2 统计学复核（T检验、卡方检验）
+- HTML 片段生成（含 R1C1 坐标）
+
+Author: AIclinicalresearch Team
+Version: 2.0.0
+Date: 2026-02-17
+"""
+
+from .types import (
+    ForensicsConfig,
+    TableData,
+    Issue,
+    ForensicsResult,
+    ExtractionError,
+    Severity,
+    IssueType,
+    CellLocation,
+)
+
+from .extractor import DocxTableExtractor
+from .validator import ArithmeticValidator, StatValidator
+from .api import router as forensics_router
+
+__all__ = [
+    # 类型
+    "ForensicsConfig",
+    "TableData", 
+    "Issue",
+    "ForensicsResult",
+    "ExtractionError",
+    "Severity",
+    "IssueType",
+    "CellLocation",
+    # 核心类
+    "DocxTableExtractor",
+    "ArithmeticValidator",
+    "StatValidator",
+    # 路由
+    "forensics_router",
+]
+
+__version__ = "2.0.0"