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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.

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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 30 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.

venueno affno abstractunlabeled
Remarques introductives de l'éditeur
Robert S. Schwartz
2012· article· fr· Canadian Journal of Program Evaluation· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Reducing Stigma in Reproductive Health
Rebecca J. Cook, Bernard M. Dickens
2014· article· en· SSRN Electronic Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Risk management: being proactive
David Mortimer, Sharon T. Mortimer
2004· book-chapter· en· Cambridge University Press eBooks· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0029-7437(10)70406-7
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Androgagy
Maguire, Katie
2023· article· en· Journal of Religion & Film· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
A Global Insight Into Legalized Abortion
Yanan Li, Linhan Yi, Qingjie Zeng, Shiyi Zhang
2022· article· en· Advances in Social Science, Education and Humanities Research/Advances in social science, education and humanities research· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1541-9800(10)70230-1
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
The well-run lab
David Mortimer, Sharon T. Mortimer
2004· book-chapter· en· Cambridge University Press eBooks· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
The Medicalization of Childbirth
2019· article· en· The Meducator· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
What's gone wrong? Troubleshooting
David Mortimer, Sharon T. Mortimer
2004· book-chapter· en· Cambridge University Press eBooks· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
TALE OF TWO BORDERS
William B Cassidy
2001· article· en· Traffic world· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0029-7437(09)70393-3
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Human rights to in vitro fertilization
Fernando Zegers-Hochschild, Bernard M. Dickens, Sandra Dughman‐Manzur
2013· article· en· SSRN Electronic Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Prenatal Management of Anencephaly
Joanna N. Erdman
2008· article· en· Knowledge@SchulichLaw· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Mother surmises on Dad's demise
Dona Sturmanis
2003· article· en· Canadian women's studies· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About