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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.

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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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Methemoglobinemia and Tumor Lysis Syndrome
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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.

127 results · 1 filter active ·
Results by year
20002025
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Machine labels · sparse coverage
Evidence
Language
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Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
127 works in the cohort · of 4,299,418page 1 of 3

Labels cover 1 of 127 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 127 of 127 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
Ascorbic Acid for the Treatment of Methemoglobinemia
Pedro Rino, Dennis Scolnik, Ana Fustiñana, Alexis Mitelpunkt, Miguel Glatstein
2014· article· en· American Journal of Therapeutics· Medicine
machine prediction:candidate · noneconsensus · none
79
citations
affvenueunlabeled
Spontaneous tumour lysis syndrome
Natasha Kekre, Bojana Djordjevic, Claire Touchie
2012· review· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
55
citations
affunlabeled
Tumor lysis syndrome in childhood malignancies
Wing Lum Cheung, Kam‐Lun Ellis Hon, Cheuk Man Fung, Alexander K. C. Leung
2020· review· en· Drugs in Context· Medicine
machine prediction:candidate · noneconsensus · none
41
citations
affunlabeled
Acute Kidney Injury in the Patient with Cancer
Alejandro Meraz-Muñoz, Amit Langote, Kenar D. Jhaveri, Hassane Izzedine, Prakash Gudsoorkar
2021· review· en· Diagnostics· Medicine
machine prediction:candidate · noneconsensus · none
37
citations
venueno affunlabeled
Purple urine bag syndrome
Chee‐Kiat Tan, Yaping Wu, Hong-Fei Wu, Chun-Hao Lai
2008· article· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
29
citations
affno abstractunlabeled
Oncologic Emergencies
Jenna Spring, Laveena Munshi
2020· review· en· Critical Care Clinics· Medicine
machine prediction:candidate · noneconsensus · none
24
citations
affunlabeled
The Medical Mystery of Napoleon Bonaparte
Alessandro Lugli, M. Clemenza, Philip E. Corso, J. di Costanzo, Richard Dirnhofer, E. Fiorini +8 more
2011· article· en· Advances in Anatomic Pathology· Medicine
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Therapeutics for paediatric oncological emergencies
Karen Ka Yan Leung, Kam‐Lun Ellis Hon, Wun Fung Hui, Alexander K. C. Leung, Chi Kong Li
2021· review· en· Drugs in Context· Medicine
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
A Mother and Newborn with Brown Blood
Mathew P. Estey, Gwen Clarke, Winnie Sia, E. J. Toor, Trefor Higgins
2015· article· en· Clinical Chemistry· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
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How this was built: Screen · Findings · About