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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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Prostate Cancer Diagnosis and Treatment
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.

4,757 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.
4,757 works in the cohort · of 4,299,418page 85 of 96

Labels cover 22 of 4,757 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 4,757 of 4,757 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.

affvenueno abstractunlabeled
The CUA: Advocating for our patients
Armen Aprikian
2022· article· en· Canadian Urological Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/j.ymed.2015.06.108
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Reply
Umberto Capitanio, S. Ahyai, Markus Graefen, Andreas Erbersdobler, Thorsten Schlomm, Alexander Haese +10 more
2008· article· en· Urology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Editorial Comment
Alexandre R. Zlotta
2018· editorial· es· The Journal of Urology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Reply by Authors
Nathan Perlis, Ravi Kumar
2025· article· en· The Journal of Urology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Anatomo-Pathology
Theodorus van der Kwast
2012· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Canis mesomelas Schreber 1775
2009· article· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
La mesure de l’APS demeure essentielle
François Bénard
2011· article· fr· Canadian Urological Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Editorial Comment
Laurence Klotz
2015· editorial· es· Urology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
In Reply to Drs. Froehner and Wirth
Naeem Bhojani, Maxine Sun, Rodolphe Thuret, Lars Budäus, Pierre I. Karakiewicz
2010· article· en· International Journal of Radiation Oncology*Biology*Physics· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About