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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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Birth, Development, and Health
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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.

2,860 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
2,860 works in the cohort · of 4,299,418page 2 of 58

Labels cover 11 of 2,860 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 2,860 of 2,860 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
Placental Adaptations in Growth Restriction
Song Zhang, Timothy R.H. Regnault, Paige Barker, Kimberley J. Botting, Isabella C. McMillen, Christine McMillan +2 more
2015· review· en· Nutrients· Medicine
machine prediction:candidate · noneconsensus · none
270
citations
aboutno affunlabeled
Intrauterine programming of obesity and type 2 diabetes
Denise S. Fernandez‐Twinn, Line Hjort, Boris Novakovic, Susan E. Ozanne, Richard Saffery
2019· review· en· Diabetologia· Medicine
machine prediction:candidate · noneconsensus · none
268
citations
afffundno abstractunlabeled
Prenatal stress and epigenetics
Lei Cao-Lei, Susanne R. de Rooij, Suzanne King, Stephen G. Matthews, Gerlinde A. S. Metz, Tessa J. Roseboom +1 more
2017· review· en· Neuroscience & Biobehavioral Reviews· Medicine
machine prediction:candidate · noneconsensus · none
235
citations
affunlabeled
Glucocorticoid “Programming” and PTSD Risk
Jonathan R. Seckl, Michael J. Meaney
2006· review· en· Annals of the New York Academy of Sciences· Medicine
machine prediction:candidate · noneconsensus · none
235
citations
affno abstractunlabeled
Demographics and cardiology, 1950–2050
David K. Foot, Richard P. Lewis, Thomas A. Pearson, George A. Beller
2000· article· en· Journal of the American College of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
177
citations
venueno affno abstractunlabeled
RETIRED: Antenatal Corticosteroid Therapy for Fetal Maturation
Joan Crane, Anthony Armson, Monica Brunner, Sandra de la Ronde, Dan Farine, Lisa Keenan-Lindsay +3 more
2003· article· en· Journal of Obstetrics and Gynaecology Canada· Medicine
machine prediction:candidate · noneconsensus · none
177
citations
afffundunlabeled
Improving pregnancy outcomes in humans through studies in sheep
Janna L. Morrison, Mary J. Berry, Kimberley J. Botting, Jack R. T. Darby, Martin G. Frasch, Kathryn L. Gatford +14 more
2018· article· en· American Journal of Physiology-Regulatory, Integrative and Comparative Physiology· Medicine
machine prediction:candidate · noneconsensus · none
175
citations

How this was built: Screen · Findings · About