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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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Breast Implant and Reconstruction
Retraction
Abstract
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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
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

973 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
973 works in the cohort · of 4,299,418page 19 of 20

Labels cover 2 of 973 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 973 of 973 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
Needlescopic Surgery
Éric Poulin, Christopher M. Schlachta, J. Mamazza
2006· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
PO10
Mark Trombetta, Hirsch Matani, Juanita Crook, Jean‐Philippe Pignol
2021· article· en· Brachytherapy· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0029-7437(05)70057-4
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s0029-7437(11)70091-x
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Apprentissages numeriques au CP
2000· book· Université Virtuelle de Côte d'Ivoire· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Reply
Jean‐Philippe Giot, Laurence S. Paek, M.A. Danino
2015· letter· en· Plastic & Reconstructive Surgery· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Reply
Frank Lista, Ryan E Austin, Yashoda Singh, Jamil Ahmad
2016· letter· en· Plastic & Reconstructive Surgery· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Prizes / Prix
2020· article· en· Érudit documents and data repository (Érudit Consortium, University of Montreal)· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
4. Digital Mammography
Martin J. Yaffe, P. C. Bunch, L. Desponds, Roberta A. Jong, Robert M. Nishikawa, M. J. Tapiovaara +1 more
2009· article· en· Journal of the ICRU· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About