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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

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The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Artificial Intelligence in Healthcare and Education
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

3,498 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
3,498 works in the cohort · of 4,299,418page 5 of 70

Labels cover 44 of 3,498 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 3,498 of 3,498 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affgemma · metaresearchgpt · research_integritymodels split
Best Practices for Using AI Tools as an Author, Peer Reviewer, or Editor
Tiffany I. Leung, Taiane de Azevedo Cardoso, Amaryllis Mavragani, Günther Eysenbach
2023· editorial· en· Journal of Medical Internet Research· Medicine
distilled prediction:candidate · metaresearch+research_integrity+insufficient_payloadconsensus · metaresearch+research_integrity
105
citations
affunlabeled
Comparative Evaluation of LLMs in Clinical Oncology
Nicholas R. Rydzewski, Deepak Dinakaran, Shuang G. Zhao, Eytan Ruppin, Barış Türkbey, Deborah E. Citrin +1 more
2024· article· en· NEJM AI· Medicine
distilled prediction:candidate · noneconsensus · none
97
citations
affunlabeled
Peer review of GPT-4 technical report and systems card
Jack Gallifant, Amelia Fiske, Yulia A. Strekalova, Juan Sebastian Osorio-Valencia, Rachael Parke, Rogers Mwavu +7 more
2024· article· en· PLOS Digital Health· Medicine
distilled prediction:candidate · noneconsensus · none
96
citations
venueno affunlabeled
ChatGPT in Clinical Toxicology
Mary Sabry Abdel-Messih, Maged N. Kamel Boulos
2023· article· en· JMIR Medical Education· Medicine
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
93
citations
affno abstractgpt · no categorygrok · no categoryopus · no categorymodels split
Trustworthy Artificial Intelligence in Medical Imaging
Navid Hasani, Michael Morris, Arman Rahmim, Ronald M. Summers, Elizabeth C. Jones, Eliot L. Siegel +1 more
2021· review· en· PET Clinics· Medicine
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
86
citations
affunlabeled
Specific challenges posed by artificial intelligence in research ethics
Sarah Bouhouita-Guermech, Patrick Gogognon, Jean‐Christophe Bélisle‐Pipon
2023· review· en· Frontiers in Artificial Intelligence· Medicine
distilled prediction:candidate · metaepi_narrow+research_integrity+insufficient_payloadconsensus · research_integrity
85
citations
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