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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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venuejournal
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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 65 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.

affno abstractunlabeled
Reply
Andrew Mihalache, Nikhil S. Patil, Ryan S. Huang, Eli Kisilevsky, Jason M. Kwok, Marko M. Popovic +5 more
2024· article· en· Retina· Medicine
machine 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
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Kunstig intelligens – Status fra ECR 2019
Simon Lysdahlgaard
2019· article· da· University of Southern Denmark Research Portal (University of Southern Denmark)· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Reconcile Using Generative AI
Patrick Parra Pennefather
2024· book-chapter· en· Design Thinking· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
dfm/corner.py: corner v2.2.2rc2
2023· other· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueunlabeled
Integrating ChatGPT as an Academic Assistant
Mert Sehri, Patrick Dumond
2025· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Editorial - Volume 24, Issue 3
Dietmar Kennepohl
2023· editorial· en· The International Review of Research in Open and Distributed Learning· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
In this October issue
Geoff Hughes
2023· editorial· en· Emergency Medicine Australasia· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affaboutunlabeled
Conscience Issue Tracker - November 2024
2024· article· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Introduction: A Definitional Preamble
Eike‐Henner W. Kluge
2024· book-chapter· en· ˜The œInternational library of ethics, law and technology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About