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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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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
fundfunder
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.

1,873 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.
1,873 works in the cohort · of 4,299,418page 22 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.

affunlabeled
Teach your children well
Andrew Macnab
2019· article· en· GHMJ (Global Health Management Journal)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0029-7437(05)71305-7
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
It really was that bad, but I came back
Declan Fox
2014· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Title Page
2012· paratext· en· PEDIATRICS· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Moderated Posters 2: Pediatrics
CUAJ Editorial
2014· article· en· Canadian Urological Association Journal· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
L’intelligence en berne
Nataly Bleuel, Nike Heinen, Tanja Stelzer, Baptiste Touverey
2020· article· fr· Books· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Eve's Ekg and Echocardiogram by W.J. Hall
Madeline Crichton
2018· article· en· The Deakin Review of Children s Literature· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Health Information Needs for Child-in-Care
Cori Thompson
2015· article· en· Studies in health technology and informatics· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Dream Away by J. Durango and K. Belle Trupiano
Sandy Campbell
2013· article· en· The Deakin Review of Children s Literature· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
50 Below Zero by R. Munsch
Sandy Campbell
2015· article· en· The Deakin Review of Children s Literature· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueunlabeled
On the hyphen
Brett Schrewe
2024· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
The line
Brett Schrewe
2019· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Fight the erosion of childhood
Wendy Ellyatt
2012· article· en· Early Years Educator· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
The Other Side
Heather Murray
2014· article· en· Annals of Emergency Medicine· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Title Pages
Donald T. Wigle
2003· paratext· en· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Going to the fair
Claire Hewson
2016· article· en· Practical Pre-School· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affaboutunlabeled
When You Have No Words
Alexandra Cohen
2023· article· en· Academic Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Centering Children’s Concerns and Voices in Policy
Sydney Campbell, Cicely McWilliam
2022· article· en· Canadian Journal of Children s Rights / Revue canadienne des droits des enfants· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About