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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, Physical Activity, Diet
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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
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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.

5,973 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.
5,973 works in the cohort · of 4,299,418page 85 of 120

Labels cover 15 of 5,973 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 5,973 of 5,973 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.

affno abstractunlabeled
Tertiary Care—Immersion Program Perspective
Daniel S. Kirschenbaum, Peter Nieman, Richard H. Sandler, Thomas J. Brady
2009· article· en· Obesity Management· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
venueno affno abstractunlabeled
To the editor
Katherine M. Flegal, David F. Williamson, Barry I. Graubard
2004· article· en· Canadian Journal of Public Health· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
Are We Foodies?
Karen Chapman‐Novakofski
2011· editorial· en· Journal of Nutrition Education and Behavior· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Childhood Obesity Prevention: Opportunities in Healthcare
Catherine S. Birken, Jonathon L. Maguire, Brian W. McCrindle, Jill Hamilton, Patricia C. Parkin
2012· article· en· Healthcare Quarterly· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
Eating Competence
Karen Chapman‐Novakofski
2019· editorial· en· Journal of Nutrition Education and Behavior· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
Targeted Questionnaire Development
Karen Chapman‐Novakofski
2021· letter· en· Journal of Nutrition Education and Behavior· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
afffundaboutunlabeled
Income inequality and adherence to 24-hour movement guideline recommendations among adolescents: a multilevel growth curve analysis using longitudinal data from three waves of the Cannabis, Obesity, Mental health, Physical activity, Sedentary behaviour and Smoking (COMPASS) study (2016–2019)
Stephen Hunter, Zack Perala, Karen A. Patte, Scott T. Leatherdale, Valerie Carson, Jean‐Philippe Chaput +2 more
2025· article· en· Journal of Epidemiology & Community Health· Medicine
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About