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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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Machine Learning in Healthcare
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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.

1,008 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.
1,008 works in the cohort · of 4,299,418page 8 of 21

Labels cover 4 of 1,008 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 1,008 of 1,008 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affvenueno abstractunlabeled
The Role of Physicians in the Era of Big Data
George Heckman, John P. Hirdes, Robert S. McKelvie
2019· letter· en· Canadian Journal of Cardiology· Computer Science
distilled prediction:candidate · open_science+research_integrityconsensus · none
8
citations
affunlabeled
Toward a Systemic Approach to Disease
Gérald Thurler, Claudine M. Breant, Ben Lehner, Marta Bunge, Kamran Samii, Donald L. Hochstrasser +4 more
2003· article· en· Complexus· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
fundno affunlabeled
COPER: Continuous Patient State Perceiver
Vinod Kumar Chauhan, Anshul Thakur, Odhran O’Donoghue, David A. Clifton
2022· article· en· 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
7
citations
affno abstractgemma · metaresearchgpt · no categorymodels split
Understanding synthetic data: artificial datasets for real-world evidence
Randi E. Foraker, Jon D. Morrow, Julie A. Johnson, Adam Wilcox, Alan J. Forster, Philip Payne
2025· article· en· BMJ evidence-based medicine· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrowconsensus · none
7
citations
affno abstractunlabeled
MEDBind: Unifying Language and Multimodal Medical Data Embeddings
Yuan Gao, Sangwook Kim, David E. Austin, Chris McIntosh
2024· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+research_integrityconsensus · open_science
7
citations
affno abstractunlabeled
Clinical Artificial Intelligence
Matthew B. A. McDermott, Bret Nestor, Peter Szolovits
2022· review· en· Clinics in Laboratory Medicine· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+research_integrityconsensus · none
6
citations

How this was built: Screen · Findings · About