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
Communication in Statistics- Theory and Methods
Topic
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.

207 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.
207 works in the cohort · of 4,299,418page 1 of 5

Labels cover 0 of 207 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 207 of 207 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.

affunlabeled
SOME RESULTS ON REVERSED HAZARD RATE ORDERING
Rameshwar D. Gupta, Asok K. Nanda
2001· article· en· Communication in Statistics- Theory and Methods· Mathematics
machine prediction:candidate · noneconsensus · none
83
citations
afffundunlabeled
REGRESSION IN THE BIVARIATE POISSON DISTRIBUTION
S. Kocherlakota, Kathleen Kocherlakota
2001· article· en· Communication in Statistics- Theory and Methods· Computer Science
machine prediction:candidate · noneconsensus · none
69
citations
fundno affunlabeled
The Harris Extended Exponential Distribution
Luís Gustavo Bastos Pinho, Gauss M. Cordeiro, Juvêncio S. Nobre
2015· article· en· Communication in Statistics- Theory and Methods· Mathematics
machine prediction:candidate · noneconsensus · none
56
citations
afffundaboutunlabeled
NONNORMAL REGRESSION. II. SYMMETRIC DISTRIBUTIONS
M. L. Tiku, M. Qamarul Islam, A. Sevtap Selçuk
2001· article· en· Communication in Statistics- Theory and Methods· Mathematics
machine prediction:candidate · noneconsensus · none
55
citations
affunlabeled
The Marshall-Olkin logistic-exponential distribution
Muhammad Mansoor, M. H. Tahir, Gauss M. Cordeiro, Serge B. Provost, Ayman Alzaatreh
2018· article· en· Communication in Statistics- Theory and Methods· Mathematics
machine prediction:candidate · noneconsensus · none
44
citations
affunlabeled
Simultaneous estimation of Cronbach’s alpha coefficients
Supranee Lisawadi, S. Ejaz Ahmed, Orawan Reangsephet, Muhammad Kashif Ali Shah
2018· article· en· Communication in Statistics- Theory and Methods· Mathematics
machine prediction:candidate · noneconsensus · none
20
citations
afffundunlabeled
On a Bivariate Pólya-Aeppli Distribution
Leda Minkova, N. Balakrishnan
2014· article· en· Communication in Statistics- Theory and Methods· Mathematics
machine prediction:candidate · noneconsensus · none
19
citations
affunlabeled
A Multivariate Quantile Predictor
Jan G. De Gooijer, Ali Gannoun, Dawit Zerom
2006· article· en· Communication in Statistics- Theory and Methods· Mathematics
machine prediction:candidate · noneconsensus · none
18
citations

How this was built: Screen · Findings · About