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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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Retinal Imaging and Analysis
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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
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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.

1,063 results · 1 filter active ·
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20002025
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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.
1,063 works in the cohort · of 4,299,418page 16 of 22

Labels cover 1 of 1,063 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 1,063 of 1,063 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Assessment Of Visual Acuity Of Older Individuals With Dementia
Estefania Chriqui, Marie‐Jeanne Kergoat, Nathalie Champoux, Bernard‐Simon Leclerc, Hélène Kergoat
2012· article· en· Investigative Ophthalmology & Visual Science· Medicine
distilled prediction:candidate · stsconsensus · none
0
citations
affno abstractunlabeled
cognitive intelligence retest analysis.R
Chong He
2018· dataset· en· Harvard Dataverse· Medicine
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
Avoir l’innovation à l’œil
Chris Wroten
2019· article· fr· Canadian Journal of Optometry· Medicine
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Multi-Modal Deep Learning for Retinal Analysis
Saadullah Shahzad, Inaam Azeezur-Rahman
2025· article· en· Journal of Computing Data and Exploration· Medicine
distilled prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Response to Choroidal thickness changes after cataract surgery
Rida Shahzad, M. A. Rehman Siddiqui, Sidra Zafar
2019· letter· en· Canadian Journal of Ophthalmology· Medicine
distilled prediction:candidate · metaepi_narrow+research_integrity+insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Retinal amyloid beta load in Alzheimer’s disease
Kailun Jiang, Sieun Lee, Brandon James McIlmoyle, Veronica Hirsch‐Reinshagen, Ian R. Mackenzie, Ging‐Yuek Robin Hsiung +6 more
2019· article· en· Investigative Ophthalmology & Visual Science· Medicine
distilled prediction:candidate · stsconsensus · none
0
citations
aboutno affunlabeled
Wallops SuperDARN data in netCDF format (2023-Nov)
2024· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/j.ymed.2016.08.121
2000· article· en· Time to knit· Medicine
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About