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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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Pregnancy and preeclampsia studies
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.

3,744 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.
3,744 works in the cohort · of 4,299,418page 53 of 75

Labels cover 13 of 3,744 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 3,744 of 3,744 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
Secretion of sFLT1 and sENG into the maternal circulation
Leonardo Ermini, Jonathan Ausman, Michael L. Litvack, Michelle Letarte, Martin Post, Isabella Caniggia
2016· article· en· Placenta· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/b978-0-323-03322-0.50023-4
2000· book-chapter· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
À la rencontre des Mollusques (2023)
2023· book· fr· HAL (Le Centre pour la Communication Scientifique Directe)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
How Common is an Abnormal Cerebroplacental Ratio at Term?
Emelissa J. Valcourt, Christy Pylypjuk, Carmen Soltys, Catharine Zuzek-Friesen
2024· article· en· Journal of Obstetrics and Gynaecology Canada· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Insights from outside BJOG
Athol Kent, Shona Kirtley
2019· article· en· BJOG An International Journal of Obstetrics & Gynaecology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
No 378 – Placentophagie
Chelsea Elwood, Deborah Money, Julie van Schalkwyk, Zahra Pakzad, Hayley Bos, Ellen Giesbrecht
2019· article· en· Journal of Obstetrics and Gynaecology Canada· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1558-0164(07)70147-5
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Abnormal Fetal Growth
Cheri Deal
2020· book-chapter· en· Elsevier eBooks· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0029-7437(06)72229-7
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Ephydra (Ephydra) millbrae Jones
2016· article· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

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