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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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Ethics and Legal Issues in Pediatric Healthcare
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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.

952 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
Language
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
952 works in the cohort · of 4,299,418page 18 of 20

Labels cover 0 of 952 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 952 of 952 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
Imagine a world without Ofsted
Donna M. Mooney
2022· article· en· Early Years Educator· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
The hospital world according to Aaron
Sue Robins
2016· article· en· Journal of Paediatrics and Child Health· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
MODELE DE LUARE A DECIZIILOR ÎN PEDIATRIE – PARTEA A II-A
Ștefana Maria Moisă, Rodica Gramma, Andrada Pârvu, Silvia Dumitraş, Mariana Enache, Gabriel Roman +2 more
2013· article· ro· DOAJ (DOAJ: Directory of Open Access Journals)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
New rules boost children’s safety
Ministry of Children and Family Development, Ministry of Public Safety and Solicitor General
2007· article· en· Canadian Journal of Emergency Nursing· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
October 2024
Barbara A. Babb, Marsha Kline Pruett
2024· article· en· Family Court Review· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Bridge2AI Voice REDCap
2025· other· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Mornings July 10, 2023 Hour 2
2023· other· en· Bulletin of Miscellaneous Information (Royal Gardens Kew)· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Illness and Family Decision-Making
Amy Mullin
2022· book-chapter· en· Philosophy and medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About