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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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School Health and Nursing 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
fundfunder
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.

1,085 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.
1,085 works in the cohort · of 4,299,418page 14 of 22

Labels cover 7 of 1,085 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 1,085 of 1,085 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
Notice of correction
2018· article· en· Canadian Journal of Respiratory Critical Care and Sleep Medicine· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Creating your own line: reflections from early career scientists
Christina D. Bruce, Lyndsey E. DuBose, Joshua C. Tremblay, Bárbara Oliveira, Hashim Islam, André L. Teixeira +3 more
2023· editorial· en· AJP Advances in Physiology Education· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Example of the searches undertaken.
2025· article· Figshare· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Come on Baby Do the Health Promotion!
Bengt Lindström
2002· article· sv· Socialmedicinsk tidskrift· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Dynaaminen liikkuvuusharjoittelu
2021· other· fi· Theseus (Ammattikorkeakoulujen)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Beko 13
2009· other· en· Bulletin of Miscellaneous Information (Royal Gardens Kew)· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Health Promotion
Bénédicte Deforche, Maïté Verloigne
2023· book-chapter· en· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
McGill_Ansel_Ray
2017· article· en· WakeSpace (Wake Forest University)· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Editorial
2010· article· fr· Project Muse (Johns Hopkins University)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
The Brechin Mine
2012· other· en· VIURRSpace (Vancouver Island University)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Health Promotion Heroes: Dr Thomas Brothers
Bert Govig
2019· article· en· Canadian Journal of General Internal Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Dorset community health and wellbeing survey
Gráinne H. Long, G Peaty, Srj Auckland, Q Lê, HB Nguyen
2014· article· en· eCite Digital Repository (University of Tasmania)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About