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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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Congenital Diaphragmatic Hernia Studies
Retraction
Abstract
Evidence source
Study design
Label agreement
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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.

1,019 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.
1,019 works in the cohort · of 4,299,418page 17 of 21

Labels cover 1 of 1,019 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 1,019 of 1,019 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
Case 2: The foreign body that wasn’t
Krishanthan Parmeswaran, Rodrick Lim, Timothy Lynch
2013· article· en· Paediatrics & Child Health· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Hernia, Hiatal
John H. Duffus, Michael Schwenk, Douglas M. Templeton
2017· dataset· en· IUPAC Standards Online· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Bauchtrauma
Roger Saadia
2023· book-chapter· de· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Paediatric Tumours
James D. Brierley, Mary Gospodarowicz, Christian Wittekind
2017· other· en· TNM Online· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Abstract IA03: DICER1: From ontogenesis to oncogenesis
William D. Foulkes, Mona K. Wu, Leanne de Kock, Leora Witkowski, Nelly Sabbaghian, Evan Weber +2 more
2014· article· en· Cancer Research· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Reply
Katie Groom, Wessel Ganzevoort, Žarko Alfirević, Kenneth Lim, Aris T. Papageorghiou
2019· letter· en· Ultrasound in Obstetrics and Gynecology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Comment About
Marc R. Del Bigio
2023· letter· en· American Journal of Forensic Medicine & Pathology· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
American Thoracic Society 2019 Pediatric Core Curriculum
Paul E. Moore, Debra Boyer, R. Perkins, Eliot S. Katz, Maria L. Castro‐Codesal, Joanna E. MacLean +16 more
2019· review· en· Pediatric Pulmonology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About