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
Year range
→
Sort
Language
Type
Field
Venue
Topic
Sports Analytics and Performance
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.

1,185 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.
1,185 works in the cohort · of 4,299,418page 4 of 24

Labels cover 3 of 1,185 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 1,185 of 1,185 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
A study of the powerplay in one-day cricket
2015· article· en· European Journal of Operational Research· Economics, Econometrics and Finance
distilled prediction:candidate · noneconsensus · none
19
citations
affunlabeled
Semi-Automated Gameplay Analysis by Machine Learning
2005· article· en· Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment· Economics, Econometrics and Finance
distilled prediction:candidate · noneconsensus · none
19
citations
affno abstractunlabeled
Sports Data Mining for Cricket Match Prediction
2023· book-chapter· en· Lecture notes in networks and systems· Economics, Econometrics and Finance
distilled prediction:candidate · metaepi_narrowconsensus · none
18
citations
affunlabeled
FIFA ranking: Evaluation and path forward
2022· article· en· Journal of Sports Analytics· Economics, Econometrics and Finance
distilled prediction:candidate · insufficient_payloadconsensus · none
18
citations
afffundunlabeled
Rao-Blackwellizing field goal percentage
2019· article· en· Journal of Quantitative Analysis in Sports· Economics, Econometrics and Finance
distilled prediction:candidate · insufficient_payloadconsensus · none
16
citations
affaboutunlabeled
Preferred Scenarios in the Sport of Curling
2004· article· en· INFORMS Journal on Applied Analytics· Economics, Econometrics and Finance
distilled prediction:candidate · noneconsensus · none
15
citations
afffundunlabeled
Resource estimation in T20 cricket
2012· article· en· IMA Journal of Management Mathematics· Economics, Econometrics and Finance
distilled prediction:candidate · noneconsensus · none
15
citations
affunlabeled
CyberAbuse in sport: beware and be aware!
2024· editorial· en· British Journal of Sports Medicine· Economics, Econometrics and Finance
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
14
citations
affunlabeled
Strike Three: Umpires' Demand for Discrimination
2007· report· en· National Bureau of Economic Research· Economics, Econometrics and Finance
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
13
citations
← previousnext →

How this was built: Screen · Findings · About