MétaCan
ENFR
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.

Export CSVExport JSONAPI query

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
Comparative Cognition & Behavior Reviews
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.

118 results · 1 filter active ·
Results by year
20062025
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.
118 works in the cohort · of 4,299,418page 2 of 3

Labels cover 0 of 118 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 118 of 118 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.

venueno affunlabeled
The future of detector dog research
Lucia Lazarowski, Paul Waggoner, Jeffrey S. Katz
2019· article· en· Comparative Cognition & Behavior Reviews· Psychology
machine prediction:candidate · noneconsensus · none
10
citations
venueno affunlabeled
The Future Is Computational Comparative Cognition
Konstantinos Voudouris, Lucy G. Cheke, Marta Halina
2024· article· en· Comparative Cognition & Behavior Reviews· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · metaresearchconsensus · none
6
citations
afffundvenueunlabeled
Auditory Category Perception as a Natural Cognitive
Christopher B. Sturdy
2006· article· en· Comparative Cognition & Behavior Reviews· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
5
citations
venueno affunlabeled
Anthropomorphism and Evidence
Mark S. Blumberg
2006· article· en· Comparative Cognition & Behavior Reviews· Psychology
machine prediction:candidate · noneconsensus · none
5
citations
affvenueunlabeled
Information Seeking in Animals: Metacognition?
William C. Roberts, Neil McMillan, Evanya Musolino
2012· article· en· Comparative Cognition & Behavior Reviews· Psychology
machine prediction:candidate · noneconsensus · none
5
citations
venueno affno abstractunlabeled
Conditioned Anti-anthropomorphism
Grant Goodrich
2006· article· en· Comparative Cognition & Behavior Reviews· Psychology
machine prediction:candidate · noneconsensus · none
4
citations
venueno affunlabeled
Anthropomorphism and its Discontents
Clive D. L. Wynne
2006· article· en· Comparative Cognition & Behavior Reviews· Psychology
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Eye Tracking in Dogs: Achievements and Challenges
Ludwig Huber, Lucrezia Lonardo, Christoph J. Völter
2023· article· en· Comparative Cognition & Behavior Reviews· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Probability Learning by Perceptrons and People
Michael R. W. Dawson
2022· article· en· Comparative Cognition & Behavior Reviews· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Occasion Setting in Humans: Norm or Exception?
Jessica C. Lee, Julie Y. L. Chow, Peter F. Lovibond
2025· article· en· Comparative Cognition & Behavior Reviews· Psychology
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Taking Welfare into Account in Comparative Cognition Research
Luigi Baciadonna, Janire Castellano Bueno, Vittoria Elliott, Christian Nawroth
2024· article· en· Comparative Cognition & Behavior Reviews· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
1
citations
venueno affunlabeled
The Future of Comparative Cognition? Conservation!
Heidi E. Harley, Peter F. Cook, Gordon B. Bauer
2024· article· en· Comparative Cognition & Behavior Reviews· Arts and Humanities
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Setting the Occasion for Suboptimal Choice
Kent D. Bodily
2025· article· en· Comparative Cognition & Behavior Reviews· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
In Memory of Ronald G. Weisman
Christopher B. Sturdy, Marcia L. Spetch
2015· article· en· Comparative Cognition & Behavior Reviews· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Optimal and Non-optimal Behavior Across Species
Edmund Fantino
2012· article· en· Comparative Cognition & Behavior Reviews· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
← previousnext →

How this was built: Screen · Findings · About