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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.

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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
Evidence
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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 92 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.

venueno affno abstractunlabeled
Missouri’s Students Respond to Healthy Foods with Enthusiasm
Amy Sigman, Jo Britt‐Rankin, Candance Gabel, Ellen Schuster, Barbara Willenberg
2006· article· en· Journal of Nutrition Education and Behavior· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
Attention to Intention
Barbara Lohse
2006· article· en· Journal of Nutrition Education and Behavior· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
Building Blocks for Healthy Kids
Gayle Povis
2016· article· en· Journal of Nutrition Education and Behavior· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Genetic and environmental effects on body mass index from infancy to the onset of adulthood: an individual-based pooled analysis of 45 twin cohorts participating in the COllaborative project of Development of Anthropometrical measures in Twins (CODATwins) study
Karri Silventoinen, Aline Jelenkovic, Reijo Sund, Yoon‐Mi Hur, Yoshie Yokoyama, Chika Honda +97 more
2016· article· en· Bristol Research (University of Bristol)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Childhood Obesity: Really? A Response.
Pierre Boudreau
2012· article· en· Revue phénEPS / PHEnex Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1558-0164(10)70226-1
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
O26: Growing Kids Who Love Eating Healthy Foods
Eleanor P. Taylor, Pamela T. Gould, Katherine L. Cason
2008· article· en· Journal of Nutrition Education and Behavior· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Childhood Obesity: Really?
Pierre Boudreau
2012· article· en· Revue phénEPS / PHEnex Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1558-0164(07)70524-2
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About