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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.

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 Medicine
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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.

99 results · 1 filter active ·
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20012025
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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.
99 works in the cohort · of 4,299,418page 2 of 2

Labels cover 0 of 99 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 99 of 99 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
RECOMED: A comprehensive pharmaceutical recommendation system
Ismail Ghodsollahee, Jennifer Martin, Nicholas J. Talley, Vahid Salari, Paweł Pławiak, Kazem Rahimi +1 more
2024· article· en· Artificial Intelligence in Medicine· Computer Science
distilled prediction:candidate · noneconsensus · none
11
citations
afffundunlabeled
Do machine learning methods make better predictions than conventional ones in pharmacoepidemiology? A systematic review, meta-analysis, and network meta-analysis
Ana Paula Bruno Pena-Gralle, Mireille E. Schnitzer, Sofia-Nada Boureguaa, F. Morin, Marc‐André Legault, Caroline Sirois +2 more
2025· article· en· Artificial Intelligence in Medicine· Decision Sciences
distilled prediction:candidate · metaresearch+metaepi_narrow+metaepi_broad+insufficient_payloadconsensus · metaresearch+metaepi_broad
2
citations
afffundno abstractunlabeled
RIMD: A novel method for clinical prediction
Saroj Basnet, Sirvan Parasteh, Alireza Manashty, Brandon Sasyniuk
2023· article· en· Artificial Intelligence in Medicine· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
AIM and Transdermal Optical Imaging
Andrew Barszczyk, Weihong Zhou, Kang Lee
2021· book-chapter· en· Artificial Intelligence in Medicine· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
aboutno affunlabeled
Variation among Trichomonas vaginalis strains
Jayne Wright, Rebecca Dunne, Peter Upcroft, P. J. O’Donoghue, J. A. Upcroft
2003· article· en· Artificial Intelligence in Medicine· Immunology and Microbiology
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Clinical evidence
Kendall Ho, Sarah Park, Michael Lai, Simon Krakovsky
2024· book-chapter· en· Artificial Intelligence in Medicine· Medicine
distilled prediction:candidate · metaepi_narrow+research_integrity+insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About