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 Distribution Estimation and Applications
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.

1,266 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.
1,266 works in the cohort · of 4,299,418page 16 of 26

Labels cover 1 of 1,266 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 1,266 of 1,266 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Authors' Rejoinder
N. Balakrishnan, Debasis Kundu
2019· article· en· Applied Stochastic Models in Business and Industry· Mathematics
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Nonparametric prediction of future order statistics
William Volterman, Katherine F. Davies, N. Balakrishnan, Jafar Ahmadi
2012· article· en· Journal of Statistical Computation and Simulation· Mathematics
distilled prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Advances in Statistics - Theory and Applications
Indranil Ghosh, N. Balakrishnan, Hon Keung Tony Ng
2021· book· en· Emerging topics in statistics and biostatistics· Mathematics
distilled prediction:candidate · metaepi_narrowconsensus · none
3
citations
affunlabeled
Additive Reversed Hazard Rates Models
Sankaran Paduthol Godan, Asokan Mulayath Variyath, Anjana Sukumaran
2014· article· en· American Journal of Mathematical and Management Sciences· Mathematics
distilled prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Goodness-of-fit tests
N. Balakrishnan, Erhard Cramer, Debasis Kundu
2023· book-chapter· en· Elsevier eBooks· Mathematics
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
3
citations
venueno affunlabeled
Bivariate and Bilateral Gamma Distributions
Yusra Tashkandy, Maha A. Omair, Abdulhamid A. Alzaid
2018· article· en· International Journal of Statistics and Probability· Mathematics
distilled prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Stochastic ordering of medians in exchangeable trivariate normal vectors
Ahad Jamalizadeh, Mohsen Madadi, Mehdi Amiri, N. Balakrishnan
2016· article· en· Applied mathematics/Applied Mathematics. A Journal of Chinese Universities/Gao-xiao yingyong shuxue xuebao· Mathematics
distilled prediction:candidate · metaepi_narrowconsensus · none
2
citations

How this was built: Screen · Findings · About