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
Human-Automation Interaction and Safety
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.

1,362 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.
1,362 works in the cohort · of 4,299,418page 1 of 28

Labels cover 1 of 1,362 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 1,362 of 1,362 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.

afffundunlabeled
A meta-analysis of the effects of texting on driving
Jeff K. Caird, Kate A. Johnston, Chelsea R. Willness, Mark Asbridge, Piers Steel
2014· review· en· Accident Analysis & Prevention· Psychology
machine prediction:candidate · noneconsensus · none
448
citations
affunlabeled
Next Steps for Human-Computer Integration
Florian Mueller, Pedro Lopes, Paul Strohmeier, Wendy Ju, Caitlyn Seim, Martin Weigel +20 more
2020· article· en· Psychology
machine prediction:candidate · noneconsensus · none
248
citations
affunlabeled
Failure to Detect Critical Auditory Alerts in the Cockpit
Frédéric Dehais, Mickaël Causse, François Vachon, Nicolas Régis, Eric Menant, Sébastien Tremblay
2013· article· en· Human Factors The Journal of the Human Factors and Ergonomics Society· Psychology
machine prediction:candidate · noneconsensus · none
159
citations
afffundunlabeled
OPTIMo
Anqi Xu, Gregory Dudek
2015· article· en· Psychology
machine prediction:candidate · noneconsensus · none
147
citations
affno abstractunlabeled
Human Factors in Aviation
Eduardo Salas, Dan Maurino, Michael T. Curtis
2010· book-chapter· en· Elsevier eBooks· Psychology
machine prediction:candidate · noneconsensus · none
131
citations
affunlabeled
Driver Distraction: Evaluation with Event Detection Paradigm
Jeff Greenberg, Louis Tijerina, Reates Curry, B. E. Artz, Larry Cathey, Dev S. Kochhar +3 more
2003· article· en· Transportation Research Record Journal of the Transportation Research Board· Psychology
machine prediction:candidate · noneconsensus · none
129
citations
afffundno abstractunlabeled
Physiological responses to simulated and on-road driving
Michel J. Johnson, Tammem Chahal, Arne Stinchcombe, Nadia Mullen, Bruce Weaver, Michel Bédard
2011· article· en· International Journal of Psychophysiology· Psychology
machine prediction:candidate · noneconsensus · none
95
citations

How this was built: Screen · Findings · About