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
Color perception and design
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.

558 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.
558 works in the cohort · of 4,299,418page 3 of 12

Labels cover 0 of 558 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 558 of 558 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.

affunlabeled
Spatial Effects on Temporal Categorisation
Marie-Ève Roussel, Simon Grondin, Peter R. Killeen
2009· article· en· Perception· Psychology
machine prediction:candidate · noneconsensus · none
19
citations
affno abstractunlabeled
Cultural Interface Design: Global Colors Study
Irina Kondratova, Ilia Goldfarb
2006· book-chapter· en· Lecture notes in computer science· Psychology
machine prediction:candidate · noneconsensus · none
19
citations
affunlabeled
Color, music, and emotion
Stephen Palmer, T. Langlois, T. Tsang, Karen B. Schloss, D. J. Levitin
2011· article· en· Journal of Vision· Psychology
machine prediction:candidate · noneconsensus · none
13
citations
affaboutunlabeled
Psychology of Perception
Simon Grondin
2025· book· en· Psychology
machine prediction:candidate · noneconsensus · none
12
citations
affaboutunlabeled
Retail Signage During the COVID-19 Pandemic
Joanne McNeish
2020· article· en· Interdisciplinary Journal of Signage and Wayfinding· Psychology
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Kansei Engineering and Web Site Design
Zheng Song, Thomas J. Howard, Sofiane Achiche, Ali Gürcan Özkil
2012· article· en· Psychology
machine prediction:candidate · noneconsensus · none
10
citations
afffundunlabeled
Lexichrome
Chris Kim, Uta Hinrichs, Saif M. Mohammad, Christopher Collins
2020· article· en· Psychology
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
The EMPATHY MACHINE
Nikolai Kummer, David Kadish, Aleksandra Dulic, Homayoun Najjaran
2012· article· en· Psychology
machine prediction:candidate · noneconsensus · none
10
citations

How this was built: Screen · Findings · About