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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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Urologic and reproductive health conditions
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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
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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.

238 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
Language
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
238 works in the cohort · of 4,299,418page 5 of 5

Labels cover 1 of 238 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 238 of 238 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
Macrostomia
John H. Duffus, Michael Schwenk, Douglas M. Templeton
2017· dataset· en· IUPAC Standards Online· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
ERYSIPELOID
HENRY C.G. SEMON
2013· book-chapter· en· Elsevier eBooks· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
ERYSIPELOID
HENRY C.G. SEMON
2013· book-chapter· en· Elsevier eBooks· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Lesions of Ductal Morphology in the Prostate
Michael W. Pickup, Theodorus van der Kwast
2008· letter· en· Archives of Pathology & Laboratory Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
A case report angiomyxoma presenting as Bartholin’s cyst
Michael Olumide Gbala, Omotayo Oladele Adeniyi, Ogheneovo Ifedayo Okurumeh, Mathew Olumide Adebisi, Catherine Iyabo Akinsipe, Joshua Taye Ige +1 more
2024· article· en· Journal of Case Reports and Scientific Images· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
ERYSIPELOID
HENRY C.G. SEMON
2013· book-chapter· en· Elsevier eBooks· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Method for producing an ablative resin
Sylvain Caillol, Ghislain David, Gabriel Foyer, Nadia Rodriguez
2016· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/b978-2-294-76306-9.50861-9
2000· book-chapter· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Unusual location of aggressive angiomyxoma in a male
Eric Heffernan, Fahad O. Alkubaidan, Paul W. Clarkson, Peter L. Munk
2007· article· en· European Journal of Radiology Extra· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Abcès de la prostate
Reza Pishdad, Sean Sullivan, Oranus Mohammadi
2021· article· fr· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
Serous Cystadenoma of the Retroperitoneum
Krystel Paris, Catherine Anku-Bertholet, Sandeep Mayer
2017· article· en· Journal of Obstetrics and Gynaecology Canada· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About