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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.

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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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Social Media in Health Education
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.

2,014 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.
2,014 works in the cohort · of 4,299,418page 34 of 41

Labels cover 32 of 2,014 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 2,014 of 2,014 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.

affaboutunlabeled
Facebook Do's and Don'ts
Greg Dennis, Tracey A. Hotta
2014· article· en· Plastic Surgical Nursing· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Growing pains of the Internet age
Megan Dougherty
2000· letter· en· Western Journal of Medicine· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
thelancet.com—new horizons
Richard Lane, Richard Horton
2005· article· en· The Lancet· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
fundno affunlabeled
Elizabeth J. Scott, M.D., Social Media Editor
James H. Lubowitz
2024· editorial· en· Arthroscopy The Journal of Arthroscopic and Related Surgery· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Proceedings From a Canadian Nephrology Forum: Nephrology Is Back
Adeera Levin, D. G. Sapir, Andrew Steele, David Z.I. Cherney, Ian C. Hellstrom, Matthew B. Lanktree +2 more
2020· article· en· Canadian Journal of Kidney Health and Disease· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
The Emerging Role of Social Media in Urology
Jeremy Yuen‐Chun Teoh, Philippe E. Spiess
2023· article· fr· Société Internationale d’Urologie Journal· Social Sciences
machine prediction:candidate · scholarly_communicationconsensus · none
0
citations
affno abstractunlabeled
Just who is “Skeptical Scalpel”?
Philip M. Jones
2015· editorial· en· Canadian Journal of Anesthesia/Journal canadien d anesthésie· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Divas in Dentistry in Romania
Paula Perlea
2017· article· en· STOMATOLOGY EDU JOURNAL· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About