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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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Investigative Ophthalmology & Visual Science
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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.

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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.

3,889 results · 1 filter active ·
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20022025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
3,889 works in the cohort · of 4,299,418page 67 of 78

Labels cover 8 of 3,889 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 3,889 of 3,889 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.

affno abstractunlabeled
Beta-blocker: a potential adjuvant therapy for Uveal Melanoma
Eva Jin, Prisca Bustamante, Denise Miyamoto, Jade Lasiste, Alicia A. Goyeneche, Miguel N. Burnier +1 more
2019· article· en· Investigative Ophthalmology & Visual Science· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Analysis of CRX Mutations in LCA Patients
Sharola Dharmaraj, Yulong Li, Hana Abouzeid, Eduardo Silva, Xiang Yao, R. Koenekoop +4 more
2003· article· en· Investigative Ophthalmology & Visual Science· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Modeling the Flow and Fate of Ocular Drugs Using Micro-CT
Corey A. Smith, Tim Newson, Katherine Leonard, David W. Holdsworth, Joseph Barfett, Cindy Hutnik +1 more
2010· article· en· Investigative Ophthalmology & Visual Science· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Expression of SIRT1 in a Uveal Melanoma Animal Model
Debra-Meghan Sanft, Christina Mastromonaco, Ana Beatriz Toledo Dias, Maria Silvia Burnier, S. Maloney, Miguel N. Burnier
2016· article· en· Investigative Ophthalmology & Visual Science· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Systemic 17-ß-Estradiol Protects Retinal Function In OIR
Nadia Ben Meriem, Biagio Campanaro, Anna Polosa, Nicolas Suter, Allison Dorfman, Pierre Lachapelle
2011· article· en· Investigative Ophthalmology & Visual Science· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Membrane binding of Retinol Dehydrogenase 11, a visual cycle protein
Christian Salesse, Olga V. Belyaeva, Natalia Y. Kedishvili, Mario Méthot
2019· article· en· Investigative Ophthalmology & Visual Science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About