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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
Evidence source
Study design
Label agreement
Label status

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 ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
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 31 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.

aboutno affunlabeled
Racing ahead
Declan G. Murphy
2015· editorial· de· British Journal of Urology· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Online Physicians: The New Norm?
Peter Anto Johnson, John Christy Johnson
2021· article· en· Health Science Inquiry· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Practical Guide to Visualizing Medicine
Kenneth Wong, Shernaz Walton, Simi Sudhakaran, John Cookson
2023· book· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Mhealth
Jeannette Herrle
2018· article· en· Canadian journal of optometry/CJO. Canadian journal of optometry· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Thinking Critically About Appraising FOAM
Teresa M. Chan, Anuja Bhalerao, Brent Thoma, N. Seth Trueger, Andrew Grock
2024· preprint· en· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
0
citations
affvenueunlabeled
The Creation of the Ol Medical Colouring Book
Carolyn L. Kane
2023· article· en· Inquiry Queen s Undergraduate Research Conference Proceedings· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
TITLE.
Carmen E Paterson, Matthew G. Fay, George Forrest, Kevin Lung, Clayton Davis
2025· article· en· PubMed· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
10.1145/3694907.3787196
AI Generated
2000· article· en· Time to knit· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1145/3716553.3786369
AI Generated
2000· article· en· Time to knit· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1145/3756884.3795803
AI Generated
2000· article· en· Time to knit· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1145/3772318.3808919
AI Generated
2000· article· en· Time to knit· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1145/3772318.3809061
AI Generated
2000· article· en· Time to knit· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1145/3772318.3809084
AI Generated
2000· article· en· Time to knit· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1145/3772318.3808934
AI Generated
2000· article· en· Time to knit· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1145/3772318.3809101
AI Generated
2000· article· en· Time to knit· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1145/3772318.3809063
AI Generated
2000· article· en· Time to knit· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1145/3772318.3808936
AI Generated
2000· article· en· Time to knit· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
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