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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
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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 17 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.

affvenueaboutunlabeled
<i>Promoting Healthy Lifestyles</i> In Ontario Family Health Networks
Paula Brauer, Theresa Schneider, Christine Preece, Deborah Northmore, Eva West, Linda Dietrich +1 more
2006· article· en· Canadian Journal of Dietetic Practice and Research· Health Professions
machine prediction:candidate · noneconsensus · none
5
citations
affvenueunlabeled
Body fat as metaphor: from harmful to helpful
Elise Paradis, Ayelet Kuper, Richard K. Reznick
2012· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
5
citations
affaboutunlabeled
Covid-19 Risk and Obesity
Meredith Bessey, Jennifer Brady
2021· article· en· Critical Studies An International and Interdisciplinary Journal· Health Professions
machine prediction:candidate · noneconsensus · none
5
citations
affvenueunlabeled
Type 2 diabetes in youth
Erin Cameron, Caitlin O’Reilly
2015· review· en· Biochemistry and Cell Biology· Health Professions
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
First, Do No Harm
Lindsay McLaren, Carol E. Adair, Kristin M. von Ranson, Shelly Russell‐Mayhew, Janet de Groot, Susann M. Laverty +11 more
2009· article· en· Obesity and Weight Management· Health Professions
machine prediction:candidate · noneconsensus · none
5
citations
afffundunlabeled
WellnessRx Education Initiative
Lana Bistritz, Katharina Kovacs-Burns, Melita Avdagovska, Linda J. McCargar, Kärin Olson, Leah Gramlich
2015· article· en· Pedagogy in Health Promotion· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
5
citations
aboutno affunlabeled
Fighting Fat
Wendy Mitchinson
2018· book· en· University of Toronto Press eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations
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

How this was built: Screen · Findings · About