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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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Corneal Surgery and Treatments
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.

642 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.
642 works in the cohort · of 4,299,418page 2 of 13

Labels cover 0 of 642 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 642 of 642 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
Regeneration of Skin and Cornea by Tissue Engineering
Danielle Larouche, Claudie Paquet, Julie Fradette, Patrick Carrier, François A. Auger, Lucie Germain
2008· article· en· Methods in molecular biology· Medicine
machine prediction:candidate · noneconsensus · none
80
citations
affno abstractunlabeled
Amniotic membrane use in dermatology
Venetia Lo, Elena Pope
2009· review· en· International Journal of Dermatology· Medicine
machine prediction:candidate · noneconsensus · none
66
citations
aboutno affunlabeled
Golden Retriever uveitis: 75 cases (1994–1999)
John S. Sapienza, FRANK SIMO, A. Prades‐Sapienza
2000· article· en· Veterinary Ophthalmology· Medicine
machine prediction:candidate · noneconsensus · none
58
citations
afffundunlabeled
The Human Tissue-Engineered Cornea (hTEC): Recent Progress
Louis-Philippe Guérin, Gaëtan Le‐Bel, Pascale Desjardins, Camille Couture, Elodie Gillard, Élodie Boisselier +3 more
2021· review· en· International Journal of Molecular Sciences· Medicine
machine prediction:candidate · noneconsensus · none
55
citations
afffundunlabeled
Animal Models in Eye Research: Focus on Corneal Pathologies
Alexis Loiseau, Gabrielle Raîche-Marcoux, Cloé Maranda, Nicolas Bertrand, Élodie Boisselier
2023· review· en· International Journal of Molecular Sciences· Medicine
machine prediction:candidate · noneconsensus · none
53
citations
affunlabeled
Corneal Transplant Tolerance of Cryopreservation
Isabelle Brunette, Michel Le François, Marie‐Claude Tremblay, Marie Claude Guertin
2001· article· en· Cornea· Medicine
machine prediction:candidate · noneconsensus · none
50
citations
affunlabeled
Boston Keratoprosthesis Type 1 Surgery
Marie-Claude Robert, Katarzyna Biernacki, Mona Harissi‐Dagher
2012· article· en· Cornea· Medicine
machine prediction:candidate · noneconsensus · none
44
citations
affunlabeled
High-risk corneal allografts: A therapeutic challenge
Yu Tian, Vijayalakshmi Rajendran, May Griffith, John V. Forrester, Lucia Kuffová
2016· review· en· World Journal of Transplantation· Medicine
machine prediction:candidate · noneconsensus · none
41
citations

How this was built: Screen · Findings · About