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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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Canadian Journal of Ophthalmology
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Retraction
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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
aboutaboutness

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

4,046 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.
4,046 works in the cohort · of 4,299,418page 50 of 81

Labels cover 8 of 4,046 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 4,046 of 4,046 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
Visante OCT in the diagnosis of caterpillar-induced iritis
Francesco Blasetti, S Tarallo, Antonio Pinna
2013· letter· en· Canadian Journal of Ophthalmology· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affvenueaboutno abstractunlabeled
Visual impairment and the Ontario Disability Support Program
Sophia Y. Liu, Graham E. Trope, Yvonne M. Buys, Sherif El-Defrawy, Anam Khan, Ya-Ping Jin
2020· article· en· Canadian Journal of Ophthalmology· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
affvenueno abstractunlabeled
Surgical treatment of low vision
John Gorfinkel
2006· review· en· Canadian Journal of Ophthalmology· Neuroscience
machine prediction:candidate · noneconsensus · none
3
citations
venueno affno abstractunlabeled
Advanced conjunctival melanoma
Abelardo Rodríguez-Reyes, Dolores Ríos y Valles‐Valles, Sonia Corredor-Casas, Alfredo Gómez-Leal
2004· article· en· Canadian Journal of Ophthalmology· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
affvenueno abstractunlabeled
Fuchs’ endothelial dystrophy masquerading as keratoconus
Reem Alnabulsi, Mahmood Showail, Nir Sorkin, Adi Einan‐Lifshitz, David S. Rootman
2019· letter· en· Canadian Journal of Ophthalmology· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
venueno affno abstractunlabeled
The Ultrachopper tip: a wound temperature study
William R. Barlow, Jeff H. Pettey, Randall J. Olson
2013· article· en· Canadian Journal of Ophthalmology· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
venueno affno abstractunlabeled
Corneal thinning and cornea guttata in patients with mutations in TGFB2
Allen O. Eghrari, Marjohn Rasooly, Michael J. Fliotsos, Jessica L. Kinard, Obinna Odozor, Denise Cunningham +3 more
2020· article· en· Canadian Journal of Ophthalmology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
3
citations
venueno affno abstractunlabeled
An unusual case of cerebral polyopia
S. Isherwood, Hugh Jewsbury, Arani Nitkunan, Nadeem Ali
2017· letter· en· Canadian Journal of Ophthalmology· Neuroscience
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About