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
Statistical Methods and Bayesian Inference
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.

1,222 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.
1,222 works in the cohort · of 4,299,418page 19 of 25

Labels cover 16 of 1,222 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 1,222 of 1,222 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
Etiologic Studies’ Essentials
Olli S. Miettinen, Igor Karp
2012· book-chapter· en· Mathematics
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Regression Analysis and Estimating Equations
Changbao Wu, Mary E. Thompson
2020· book-chapter· en· ICSA book series in statistics· Mathematics
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Bayesian Analysis of Markov Based Logistic Model
Soma Chowdhury Biswas, Janardan Mahanta, Manindra Kumar Roy
2018· article· en· International Journal of Statistics in Medical Research· Mathematics
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
goal 4 quality education pdf
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)· Mathematics
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Attitudes of Gratitude
2015· other· en· Bulletin of Miscellaneous Information (Royal Gardens Kew)· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
sabinar
2025· other· en· Spectrum Research Repository (Concordia University)· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Iso 811 pdf
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)· Mathematics
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About