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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 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.

affaffiliation
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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 61 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. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affunlabeled
Moving the AI Needle
Hendrik Abel, Ulrich Kleipaß
2020· other· it· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affaboutno abstractunlabeled
Leveraging 'Responsible, Explainable, and Local Artificial Intelligence Solutions for Clinical Public Health in the Global South' (REL-AI4GS): Implications for Policies and Lessons Learned from the 'Africa-Canada Artificial Intelligence and Data Innovation Consortium' (ACADIC) project
Jude Dzevela Kong, Ugochukwu Ejike Akpudo, Jake Okechukwu Effoduh, Nicola Luigi Bragazzi
2022· article· en· SSRN Electronic Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Ethics, First
Melissa D. McCradden
2023· letter· en· The American Journal of Bioethics· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Recherche et robotique médicale
Nadège Aubert, Y. Rochais
2007· article· fr· IRBM News· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Black Box Myth
Abraham Rudnick
2018· article· en· International Journal of Extreme Automation and Connectivity in Healthcare· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Editor’s Corner: February 2024
Abdullah Alabousi, Mostafa Alabousi, Michael N. Patlas
2023· editorial· en· Canadian Association of Radiologists Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
COREQ.
2023· article· en· Figshare· Medicine
machine prediction:candidate · metaresearchconsensus · none
0
citations

How this was built: Screen · Findings · About