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
Behavior Research Methods
Topic
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.

304 results · 1 filter active ·
Results by year
20052025
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.
304 works in the cohort · of 4,299,418page 6 of 7

Labels cover 3 of 304 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 304 of 304 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
Measures of angularity in digital images
Nicholas Watier
2024· article· en· Behavior Research Methods· Neuroscience
machine prediction:candidate · noneconsensus · none
3
citations
afffundunlabeled
LaDEP: A large database of English pseudo-compounds
Leah Auch, Karen Pérez Cruz, Christina L. Gagné, Thomas L. Spalding
2023· article· en· Behavior Research Methods· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
A test for psychometric function shift
Alexander D. Logvinenko, Yuri N. Tyurin, Martin Sawey
2011· article· en· Behavior Research Methods· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affaboutno abstractunlabeled
Erratum to: The Montreal Protocol for Identification of Amusia
Dominique T. Vuvan, Sébastien Rioux Paquette, Geneviève Mignault Goulet, Isabelle Royal, Mihaela Felezeu, Isabelle Peretz
2017· erratum· en· Behavior Research Methods· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Denver pain authenticity stimulus set (D-PASS)
E. Paige Lloyd, Kevin M. Summers, Christopher A. Gunderson, Rachael Weesner, Leanne ten Brinke, Kurt Hugenberg +1 more
2023· article· en· Behavior Research Methods· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Correction to: Editorial: Into a new decade
Marc Brysbaert, Zsuzsa Bakk, Erin Michelle Buchanan, Denis Drieghe, Andreas Frey, Eunsook Kim +6 more
2022· erratum· en· Behavior Research Methods· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Author Correction: Can musical ability be tested online?
Ana Isabel Correia, Margherita Vincenzi, Patrícia Vanzella, Ana P. Pinheiro, César F. Lima, E. Glenn Schellenberg
2023· erratum· en· Behavior Research Methods· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About