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
Advanced Causal Inference Techniques
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.

1,326 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.
1,326 works in the cohort · of 4,299,418page 17 of 27

Labels cover 35 of 1,326 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 1,326 of 1,326 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

fundno affunlabeled
Treatment Effects with Multiple Outcomes
John Mullahy
2018· report· en· National Bureau of Economic Research· Mathematics
distilled prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Bringing epidemiology into drug utilisation research
Jacques LeLorier, Robert Vander Stichele, Jerry Avorn, Keith Beard, Jesper Hallas, David Henry
2003· article· en· Pharmacoepidemiology and Drug Safety· Mathematics
distilled prediction:candidate · metaresearch+metaepi_narrowconsensus · metaresearch
2
citations
afffundgpt · no categorygrok · no categoryopus · no categorymodels split
Pseudo-empirical likelihood methods for causal inference
Jingyue Huang, Changbao Wu, Leilei Zeng
2025· article· en· Electronic Journal of Statistics· Mathematics
distilled prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Doubly robust criterion for causal inference
Takamichi Baba, Yoshiyuki Ninomiya
2025· article· en· Canadian Journal of Statistics· Mathematics
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Regression—A Means, Not an End
Robert W. Platt
2025· article· en· Statistics in Medicine· Mathematics
distilled prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About