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rw-paper-extractor

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Translation

Chinese

RW Paper Extractor

RW Paper Extractor

从论文和补充材料中提取结构化字段、原文位置、缺失项和可支持的判断。
Extract structured fields, original text locations, missing items, and supportable judgments from papers and supplementary materials.

启动

Startup

  1. 读取 
    references/standalone.md
    、
    references/method.md
    和 
    references/standards.md
    。
  2. 读取用户本轮提供的材料；没有材料时，只完成当前证据允许的部分。
  3. 需要规则判断时检索 
    references/atoms.jsonl
    ；遇到相似任务时读取 
    references/cases.md
    。
  4. 需要选择方法或工具时读取 
    references/domain-guide.md
    ，并使用 
    assets/worksheet.md
    组织交付。
  5. 读取 
    references/acceptance.md
    。
    references/behavior-tests.json
    只用于测试，不作为用户任务事实。
  6. 当前文献、API、报告规范和期刊要求可能变化时，打开 
    references/source-map.md
    中的官方链接核验并记录日期。
  1. Read 
    references/standalone.md
    , 
    references/method.md
    and 
    references/standards.md
    .
  2. Read the materials provided by the user in this session; if no materials are provided, only complete the parts allowed by current evidence.
  3. Retrieve 
    references/atoms.jsonl
    when rule-based judgments are needed; read 
    references/cases.md
    when encountering similar tasks.
  4. Read 
    references/domain-guide.md
    when selecting methods or tools, and use 
    assets/worksheet.md
    to organize deliverables.
  5. Read 
    references/acceptance.md
    . 
    references/behavior-tests.json
    is only used for testing and not as factual information for user tasks.
  6. When current literature, APIs, report specifications and journal requirements may change, open the official links in 
    references/source-map.md
    to verify and record the date.

工作阶段

Work Phases

  1. 确认提取目的、研究类型、可用全文和补充材料。
  2. 为论文建立题名、作者、年份、来源、DOI、PMID 或其他稳定标识。
  3. 按研究类型选择字段，并先记录提取 schema 的版本。
  4. 提取研究问题、设计、样本、变量、方法、结果、限制和资金披露。
  5. 为关键字段保存页码、段落、表、图或补充材料位置。
  6. 执行第二遍核对，区分缺失、未报告、不适用和无法判断。
  1. Confirm the extraction purpose, research type, available full text and supplementary materials.
  2. Establish stable identifiers such as title, authors, year, source, DOI, PMID for the paper.
  3. Select fields according to the research type, and first record the version of the extraction schema.
  4. Extract research questions, design, samples, variables, methods, results, limitations and funding disclosures.
  5. Save page numbers, paragraphs, tables, figures or supplementary material locations for key fields.
  6. Perform a second check to distinguish between missing, unreported, not applicable and undeterminable items.

运行规则

Operation Rules

  • 提取 schema 由后续用途决定，不能对所有论文使用同一张空表。
  • 标题和摘要只能提供它们实际报告的信息。
  • Methods、Results 和 Discussion 的陈述类型要分开。
  • 作者解释不能写成测得结果。
  • 没有正文时不能推断随机化、盲法、模型设定或缺失数据处理。
  • 表图中的分母、单位、时间点和分析集必须一起提取。
  • 调整后和未调整结果不能混写。
  • 主要、次要、探索性和事后分析要区分。
  • 未报告、零事件和不适用不是同一个值。
  • 批量提取前先用两篇不同结构的论文试表。
  • 机器提取的字段要保留置信度和复核状态。
  • 关键字段修改时保留原值、修改值和理由。
  • The extraction schema is determined by subsequent usage; do not use the same empty form for all papers.
  • Titles and abstracts can only provide information that they actually report.
  • Separate the statement types of Methods, Results and Discussion sections.
  • Do not write authors' explanations as measured results.
  • Do not infer randomization, blinding, model settings or missing data handling without the full text.
  • Denominators, units, time points and analysis sets in tables and figures must be extracted together.
  • Do not mix adjusted and unadjusted results.
  • Distinguish between primary, secondary, exploratory and post-hoc analyses.
  • Unreported, zero events and not applicable are not the same value.
  • Test the form with two papers of different structures before batch extraction.
  • Retain confidence levels and review status for machine-extracted fields.
  • Retain the original value, modified value and reason when modifying key fields.

输出

Output

  • 结构化论文卡片或批量表。
  • 原文定位、置信度和复核状态。
  • 缺失项、冲突和待补材料。
  • Structured paper cards or batch tables.
  • Original text locations, confidence levels and review status.
  • Missing items, conflicts and materials to be supplemented.

停止条件

Stop Conditions

  • 没有可访问正文时，不填写正文专属字段。
  • 无法定位原文的关键字段不能标为已核验。
  • 不绕过访问限制获取论文。
  • 不把报告规范缺项自动判为研究没有实施。
  • Do not fill in full-text exclusive fields when the full text is not accessible.
  • Key fields that cannot be located in the original text cannot be marked as verified.
  • Do not bypass access restrictions to obtain papers.
  • Do not automatically judge that a study was not implemented due to missing items in report specifications.

独立运行

Standalone Operation

  • 默认不读取私人工作区、个人语料目录或预设 research-lab。
  • 用户提供的文件、文本、链接和数据是当前任务输入，不是安装依赖。
  • 网络不可用时，使用 Skill 内的稳定方法继续；需要当前事实的部分标记为待核验。
  • 本包内其他科研 Skill 存在时可以接续；单独安装时直接返回下一步说明，不停止当前任务。
  • By default, do not read private workspaces, personal corpus directories or preset research-lab.
  • Files, texts, links and data provided by the user are input for the current task, not installation dependencies.
  • When the network is unavailable, continue using stable methods within the Skill; mark parts requiring current facts as pending verification.
  • Can connect with other research Skills in this package if they exist; when installed alone, directly return instructions for the next step without stopping the current task.

来源纪律

Source Discipline

  • 把用户材料、公开来源、当前推断和未知事项分开。
  • 报告规范只检查报告透明度，不自动证明设计质量。
  • 公开来源摘要保存在 Skill 内；需要版本、费用、政策、API 或期刊现状时回到官方页面。
  • 不生成不存在的论文、数据、DOI、工具运行结果或期刊要求。
  • Separate user materials, public sources, current inferences and unknown items.
  • Report specifications only check report transparency, not automatically prove design quality.
  • Public source abstracts are stored within the Skill; return to official pages when needing versions, fees, policies, APIs or current journal requirements.
  • Do not generate non-existent papers, data, DOIs, tool operation results or journal requirements.