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
Dynamic Games and Applications
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.

46 results · 1 filter active ·
Results by year
20102025
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.
46 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 46 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 46 of 46 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
Preface: DGAA Special Issue on Mean Field Games
Martino Bardi, Peter E. Caines, Italo Capuzzo Dolcetta
2013· article· en· Dynamic Games and Applications· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Preface: DGAA 2nd Special Issue on Mean Field Games
Martino Bardi, Peter E. Caines, Italo Capuzzo Dolcetta
2014· article· en· Dynamic Games and Applications· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Evolution of Aggression in Consumer-Resource Models
Theodore E. Galanthay, Vlastimil Křivan, Ross Cressman, Tomás A. Revilla
2023· article· en· Dynamic Games and Applications· Medicine
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
On the Evolution of Partial Respect for Ownership
Mike Mesterton‐Gibbons, Tugba Karabiyik, Tom N. Sherratt
2015· article· en· Dynamic Games and Applications· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
afffundunlabeled
An Oligopoly-Fringe Model with HARA Preferences
Gerard van der Meijden, Cees Withagen, Hassan Benchekroun
2022· article· en· Dynamic Games and Applications· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
3
citations
fundno affno abstractunlabeled
Preface: Ross Cressman Septuaginta Quinque Annorum
Mark Broom, Vlastimil Křivan
2025· article· en· Dynamic Games and Applications· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Strategic Interactions in a One-Sector Growth Model
Eric Fesselmeyer, Leonard J. Mirman, Marc Santugini
2015· article· en· Dynamic Games and Applications· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About