Runs a full critical appraisal of a paper — findings, study quality, conflicts of interest and 1-10 scores for novelty, rigor and empiricism — ending in an A-F grade that penalises unreproducible methods.
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Paste the full paper or preprint, including the methods and results sections. Abstract-only input will produce mostly "not reported" rows.
What you most want scrutinised — a specific claim, the statistics, or the fit between the method and the conclusion. Default: the overall scientific rigor and whether the conclusions are supported by the data
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Contributor notes: Illustrative example — not an actual model run. Written to show the shape of a good answer so the prompt can be judged before you spend a call on it. Attribution: adapted from https://github.com/danielmiessler/fabric by danielmiessler, licensed MIT. Source file: https://github.com/danielmiessler/fabric/blob/main/data/patterns/analyze_paper/system.md
1 public result from 1 model
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Create a grounded reading exercise with a concise summary and questions that separate stated facts, inferences, and unsupported conclusions.
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Turn reviewer comments into specific revision actions and courteous responses without claiming changes or analyses that have not been done.
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Prioritize the main finding, section text and figures for a conference poster while preserving evidence limits and venue constraints.
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Build a source-grounded glossary that preserves differences in definitions, assumptions and measurement across fields.
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Find unmatched citations, unused references, inconsistent author-year labels and missing bibliographic fields without inventing metadata.
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Translate a research question into observable events, recording fields and pilot checks that different observers can follow consistently.
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