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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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Child and Adolescent Health
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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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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,873 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.
1,873 works in the cohort · of 4,299,418page 11 of 38

Labels cover 11 of 1,873 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 1,873 of 1,873 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.

aboutno affunlabeled
Adolescents
David Isaacs
2013· article· en· Journal of Paediatrics and Child Health· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
3
citations
affno abstractunlabeled
Vital Signs for Pediatric Health: Infant Mortality
Kelly J. Kelleher, Kimberly Hoagwood, Deborah Klein Walker, Jennifer W. Kaminski, William Gardner, Erin G Fox
2023· review· en· NAM Perspectives· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Should doctors talk politics with patients?
Lauren Vogel
2018· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Real medicine
Hayden Wilson, Donald Payne
2012· article· en· Journal of Paediatrics and Child Health· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Authors’ reply to Rafi
Joel G. Ray, Emily Bartsch
2016· letter· de· BMJ· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
affaboutunlabeled
Canada's nuclear schizophrenia
Duane Bratt
2002· article· en· Bulletin of the Atomic Scientists· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
3
citations
affunlabeled
Michael Joseph Chandler (1938–2019).
Christopher E. Lalonde
2020· article· en· American Psychologist· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
fundvenueno affunlabeled
The First Lesson in Prevention
Alexander Laban Hinton
2019· article· en· Genocide Studies and Prevention· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Une discipline efficace auprès des enfants
Paula Nieman, Steven Shea
2004· article· fr· Paediatrics & Child Health· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affaboutunlabeled
The more you read, the more you know
Alyson Shaw, Sarah Shea
2006· article· en· Paediatrics & Child Health· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
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How this was built: Screen · Findings · About