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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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Reproductive Health and Technologies
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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
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venuejournal
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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,907 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.
1,907 works in the cohort · of 4,299,418page 31 of 39

Labels cover 5 of 1,907 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 1,907 of 1,907 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
How are we doing? Benchmarking
David Mortimer, Sharon T. Mortimer
2004· book-chapter· en· Cambridge University Press eBooks· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Ilness and metaphor: Modern reproduction
Aldous Huxley
2002· article· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
How I Got Pregnant
James Dwyer
2014· article· fr· BioéthiqueOnline· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Everything you wanted to know about sperm
Richard Casey
2002· article· en· Journal of Sexual & Reproductive Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Contacts: Stories of Egg and Sperm Donors
Anaïs Martin, Jean-Charles Andrieu de Lévis, Laurent Masri-Clermont, Isabel Côté
2024· other· fr· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Surrogacy
Laura Purdy, Helen Holmes
2019· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Rethinking Parens Patriae
Sonja C. Grover
2025· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Birthing
Pamela E. Klassen, Judith Ellen Brunton
2025· book-chapter· en· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Trade in Human
2016· article· en· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
†HEC Montreal
2004· article· en· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About