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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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Obesity and Health Practices
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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.

1,836 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.
1,836 works in the cohort · of 4,299,418page 18 of 37

Labels cover 11 of 1,836 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 1,836 of 1,836 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.

affvenueunlabeled
Many hands lighten the obesity load
Aric Sudicky, Christopher John Mackie
2015· letter· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations
affvenueunlabeled
“I Just Want to Be Normal!”
Adam Davies
2024· article· en· Journal of Critical Dietetics· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations
affaboutunlabeled
Does this person have obesity?
Arya M. Sharma
2023· article· en· EClinicalMedicine· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
Obesity and Serious Infections
Dimitrios Farmakiotis
2013· letter· en· Annals of Internal Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations
afffundaboutunlabeled
Ventilator and the Vaccine
Deborah McPhail
2024· article· en· Journal of Critical Public Health· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations
affvenueaboutunlabeled
Why pharmacists should care about the marketing of unhealthy foods: Increasing our role in public health policy / Pourquoi les pharmaciens devraient-ils s’intéresser à la promotion des aliments néfastes pour la santé? Contribuons davantage aux politiques en matière de santé publique
Sherilyn K. D. Houle, Meagen Rosenthal, Norm R.C. Campbell, Tara Duhaney, Ross T. Tsuyuki
2014· article· fr· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Life Lessons
Marc Lafrance, Stirling Lafrance, Moss E. Norman
2015· article· en· Culture Studies &#x2194 Critical Methodologies· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations

How this was built: Screen · Findings · About