MétaCan
Menu
Cohort builder

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.

Search term
Author
Year range
→
Sort
Language
Type
Field
Venue
Topic
Ophthalmology and Visual Impairment Studies
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.

1,643 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,643 works in the cohort · of 4,299,418page 30 of 33

Labels cover 11 of 1,643 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 1,643 of 1,643 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.

aboutno affunlabeled
OVS Announces
2015· article· en· Optometry and Vision Science· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
Resident Perspectives
Matthew D. Benson, Laura Donaldson, Gareth Mercer, Jenny Qian, Aishwarya Sundaram
2019· article· en· Canadian Journal of Ophthalmology· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
A new model of low vision rehabilitation
Susan J. Leat
2013· article· en· Journal of Clinical & Experimental Ophthalmology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
PBO Strainmeter Tsunami Signals 2005-2012
2012· article· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
The Scope is Not Limited
Anthony J. Adams
2011· editorial· en· Optometry and Vision Science· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Amblyopia Treatment
Kenneth W. Wright, Yi Ning J. Strube
2014· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Saccadic Adaptation In Amblyopia
Rana Arham Raashid, Manokaraananthan Chandrakumar, Alan Blakeman, Herbert C. Goltz, Agnes Wong
2012· article· en· Investigative Ophthalmology & Visual Science· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
PRISMA 2020 checklist.
2024· article· en· Figshare· Medicine
machine prediction:candidate · metaresearch+insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About