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
Author
Year range
→
Sort
Language
Type
Field
Venue
Topic
Probability and Risk Models
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.

682 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.
682 works in the cohort · of 4,299,418page 5 of 14

Labels cover 0 of 682 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 682 of 682 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundunlabeled
A temporal approach to the Parisian risk model
Bin Li, Gordon E. Willmot, Jeff T.Y. Wong
2018· article· en· Journal of Applied Probability· Decision Sciences
distilled prediction:candidate · noneconsensus · none
13
citations
venueno affunlabeled
Monte Carlo Methods for Insurance Risk Computation
Shaul K. Bar‐Lev, Ad Ridder
2019· article· en· International Journal of Statistics and Probability· Decision Sciences
distilled prediction:candidate · noneconsensus · none
12
citations
afffundno abstractunlabeled
An opposite Gaussian product inequality
Oliver Russell, Wei Sun
2022· article· en· Statistics & Probability Letters· Decision Sciences
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
12
citations
afffundno abstractunlabeled
Nonparametric recursive quantile estimation
Michael Köhler, Adam Krzyżak, Harro Walk
2014· article· en· Statistics & Probability Letters· Decision Sciences
distilled prediction:candidate · metaresearch+insufficient_payloadconsensus · none
10
citations
afffundunlabeled
On Parameter Estimation in Hierarchical Credibility
Hassine Belhadj, Vincent Goulet, Tommy Ouellet
2009· article· en· Astin Bulletin· Decision Sciences
distilled prediction:candidate · metaresearch+insufficient_payloadconsensus · insufficient_payload
9
citations
afffundunlabeled
Finite-time ruin probabilities using bivariate Laguerre series
Eric C.K. Cheung, Hayden Lau, Gordon E. Willmot, Jae‐Kyung Woo
2022· article· en· Scandinavian Actuarial Journal· Decision Sciences
distilled prediction:candidate · sts+scholarly_communication+insufficient_payloadconsensus · none
8
citations
← previousnext →

How this was built: Screen · Findings · About