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

23,401 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.
23,401 works in the cohort · of 4,299,418page 348 of 469

Labels cover 41 of 23,401 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 23,401 of 23,401 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
Emerging distance degree programs.
David Birnbaum, Trisha Greenhalgh
2000· article· en· PubMed· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Welcoming Syrian refugees.
Jennifer L. Hall
2016· article· fr· PubMed· Psychology
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
An author by any other name.
Bart J. Harvey
2000· letter· en· PubMed· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Patient Engagement: We Need to Get on With It.
Cathy Fooks, Genevieve Obarski, Lori Hale, Stephanie Hylmar
2015· article· en· PubMed· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
[Malignant pleural mesothelioma].
Sajitha Sophia Sritharan, Jens Lundby Frandsen, Øyvind Omland, Jens Meldgaard Bruun
2018· article· en· PubMed· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
[Discussion on "dry needling" being part of acupuncture].
Zengfu Peng, Nenggui Xu, Zhaoxiang Bian, Canhui Li, Weidong Lu, Tao Huang +1 more
2017· article· en· PubMed· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About