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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.

affaffiliation
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aboutaboutness

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 10 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.

affunlabeled
Entropy removal of medical diagnostics
Shuhan He, P. Andrew Chong, Byung-Jun Yoon, Pei-Hung Chung, David Chen, Sammer Marzouk +6 more
2024· article· en· Scientific Reports· Computer Science
distilled prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Big data research is everyone's research—Making epilepsy data science accessible to the global community: Report of the <scp>ILAE</scp> big data commission
Colin B. Josephson, Eleonora Aronica, Sándor Beniczky, Danielle Boyce, Gianpiero L. Cavalleri, Spiros Denaxas +13 more
2024· review· en· Epileptic Disorders· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+bibliometrics+sts+scholarly_communication+open_science+research_integrityconsensus · metaresearch+sts+open_science
4
citations
aboutno affunlabeled
Who does the model learn from?
Marie‐Laure Charpignon, Leo Anthony Celi, Mathew Cherian Samuel
2021· letter· en· The Lancet Digital Health· Computer Science
distilled prediction:candidate · scholarly_communication+research_integrityconsensus · none
4
citations
fundno affno abstractunlabeled
Artificial Intelligence in Medicine
2024· book· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+research_integrityconsensus · none
3
citations
fundno affno abstractunlabeled
Artificial Intelligence in Medicine
2024· book· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+research_integrityconsensus · none
3
citations
fundno affunlabeled
Intelligent decision support in medicine: back to Bayes?
Gitte Lindgaard, Peter Egan, Colin N. Jones, Catherine Pyper, Monique Frize, Robin Walker +5 more
2008· article· en· Swinburne Research Bank (Swinburne University of Technology)· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
3
citations
affunlabeled
Reflective Artificial Intelligence
Peter R. Lewis, Ştefan Sarkadi
2023· preprint· en· Research Portal (King's College London)· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+research_integrity+insufficient_payloadconsensus · open_science
3
citations

How this was built: Screen · Findings · About