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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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Pediatric health and respiratory diseases
Retraction
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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.

560 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.
560 works in the cohort · of 4,299,418page 6 of 12

Labels cover 1 of 560 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 560 of 560 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
New Respiratory Diseases
Helen Ramsdale
2003· article· en· Canadian Respiratory Journal· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affvenueunlabeled
Reviewer acknowledgement 2012
Richard Warrington
2013· article· en· Allergy Asthma and Clinical Immunology· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Teremys masneri Mason
2003· article· en· Zenodo (CERN European Organization for Nuclear Research)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
About This Synopsis Book
2025· article· en· PEDIATRICS· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/b978-2-294-73068-9.00029-3
2000· book-chapter· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Universal Care Hurt Quebec’s Kids
2008· article· en· Stanford Social Innovation Review· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Why we need to look after baby teeth
Linda Greenwall
2023· article· en· Early Years Educator· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
208 Assessment of a new oral neonatal supplement for lambs
Brenda Ralston, Andrea M. Hanson, Denis Nagel, Kendall Beaugrand, Crystal Schatz, Joe Ross +2 more
2024· article· en· Journal of Animal Science· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/j.yped.2012.10.012
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Corrigendum
2015· erratum· en· Paediatrics & Child Health· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About