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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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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
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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.

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 83 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
Obesity
Amanda Casey, Roy Rasmussen
2015· book-chapter· en· Autism and child psychopathology series· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Response: First, Do Some Good
Daniel S. Kirschenbaum, Kerri N. Boutelle, Daniel A. DeUgarte, Fred H. Frankel, Julie N. Germann, Thomas L. McKnight +3 more
2009· article· en· Obesity and Weight Management· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
venueno affno abstractunlabeled
Determinants of High Fat Mass Index in Preschoolers Living in Brazilian Urban Areas
Juliana Nogueira Pontes Nobre, Rosane Luzia de Souza Morais, Maria Letícia Ramos‐Jorge, Amanda Cristina Fernandes, Ângela Alves Viegas, Pedro Henrique Scheidt Figueiredo +7 more
2022· article· en· Journal of Nutrition Education and Behavior· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Location-specific psychosocial and environmental correlates of physical activity and sedentary time in young adolescents: preliminary evidence for location-specific approaches from a cross-sectional observational study
Adrian Ortega, Carolina M. Bejarano, Christopher C. Cushing, Vincent S. Staggs, Amy Papa, Chelsea Steel +10 more
2022· article· en· International Journal of Behavioral Nutrition and Physical Activity· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affvenueaboutunlabeled
Implementing growth monitoring recommendations
Sarah E. Carsley, Karen Tu, Catherine S. Birken
2015· letter· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
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