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
Innovation Diffusion and Forecasting
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.

330 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.
330 works in the cohort · of 4,299,418page 3 of 7

Labels cover 3 of 330 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 330 of 330 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.

affvenueunlabeled
Devancer la concurrence par les systèmes d'information
François Bergeron, Chantal Buteau
2012· article· fr· Revue internationale P M E Économie et gestion de la petite et moyenne entreprise· Decision Sciences
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
The Geography of Unconventional Innovation
Enrico Berkes, Ruben Gaetani
2019· article· en· SSRN Electronic Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
7
citations
venueno affunlabeled
B2B Networking, Renewable Energy, and Sustainability
Davood Askarany, Hassan Yazdifar, Kevin E. Dow
2021· article· en· Journal of risk and financial management· Decision Sciences
machine prediction:candidate · noneconsensus · none
5
citations
venueno affunlabeled
Old World VS. New World: Evolution of Nobel Prize Shares
Wolfgang Jank, Bruce Golden, Paul F. Zantek
2005· article· en· INFOR Information Systems and Operational Research· Decision Sciences
machine prediction:candidate · bibliometricsconsensus · none
4
citations

How this was built: Screen · Findings · About