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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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Maternal and Perinatal Health Interventions
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.

2,232 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.
2,232 works in the cohort · of 4,299,418page 35 of 45

Labels cover 8 of 2,232 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 2,232 of 2,232 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.

affno abstractunlabeled
Die Uterusperforationen mit Intrauterinpessaren
Yves Lefèbvre, Jean‐Marie Moutquin, Roland Lamquin, Michel J. Bérard
2009· article· de· Gynäkologische Rundschau· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Clinical shorts
D. Kelsall
2011· article· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Daily Building Record
2016· article· en· Open Collections· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Risk factors for mode of delivery
2019· dissertation· en· Lu Zone Ul (Laurentian University)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Controlo da Dor do Trabalho de Parto em Primíparas
2012· article· pt· Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Editor’s Choice
Philip Steer
2007· article· en· BJOG An International Journal of Obstetrics & Gynaecology· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
In Reply
Tim Van Mieghem, Philipp Klaritsch, Luigi Raio, Angela C. Ranzini, David Baud, Jon Barrett +2 more
2015· letter· en· Obstetrics and Gynecology· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Antepartum
John H. Duffus, Michael Schwenk, Douglas M. Templeton
2017· dataset· en· IUPAC Standards Online· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Editorial
Jo Morrison
2023· editorial· en· The Obstetrician & Gynaecologist· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
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How this was built: Screen · Findings · About