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
Markov Chains and Monte Carlo Methods
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.

418 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.
418 works in the cohort · of 4,299,418page 4 of 9

Labels cover 1 of 418 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 418 of 418 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Discrete homing problems
Mario Lefebvre, Moussa Kounta
2013· article· en· Archives of Control Sciences· Mathematics
distilled prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Smoothed analysis of balancing networks
Tobias Friedrich, Thomas Sauerwald, Dan Vilenchik
2010· article· en· Random Structures and Algorithms· Mathematics
distilled prediction:candidate · noneconsensus · none
7
citations
affunlabeled
On the geometric ergodicity of hybrid samplers
Gersende Fort, Éric Moulines, Gareth O. Roberts, Jeffrey S. Rosenthal
2003· article· en· Journal of Applied Probability· Mathematics
distilled prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Regularized Greedy Importance Sampling
Finnegan Southey, Dale Schuurmans, Ali Ghodsi
2002· article· en· Mathematics
distilled prediction:candidate · insufficient_payloadconsensus · none
7
citations
afffundno abstractunlabeled
Equivalences of Geometric Ergodicity of Markov Chains
Marco A. Gallegos-Herrada, David Ledvinka, Jeffrey S. Rosenthal
2023· article· en· Journal of Theoretical Probability· Mathematics
distilled prediction:candidate · metaresearchconsensus · none
7
citations
affunlabeled
On testing for parameters in Ising models
Rajarshi Mukherjee, Gourab Ray
2022· preprint· fr· Annales de l Institut Henri Poincaré Probabilités et Statistiques· Mathematics
distilled prediction:candidate · metaresearch+metaepi_narrow+research_integrityconsensus · metaepi_narrow
6
citations
affunlabeled
Monte Carlo Methods
2000· book· en· American Mathematical Society eBooks· Mathematics
distilled prediction:candidate · metaepi_narrowconsensus · none
6
citations
affunlabeled
Approximate Methods for Bayesian Computation
Radu V. Craiu, Evgeny Levi
2022· article· en· Annual Review of Statistics and Its Application· Mathematics
distilled prediction:candidate · noneconsensus · none
6
citations
afffundunlabeled
Bratelli Diagrams Where Random Orders are Imperfect
Jeannette Janssen, Anthony Quas, Reem Yassawi
2017· article· en· UVic’s Research and Learning Repository (University of Victoria)· Mathematics
distilled prediction:candidate · stsconsensus · none
6
citations
affunlabeled
Adaptive Incremental Mixture Markov Chain Monte Carlo
Florian Maire, Nial Friel, Antonietta Mira, Adrian E. Raftery
2019· article· en· Journal of Computational and Graphical Statistics· Mathematics
distilled prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Counting and Configurations
Jiří Herman, Radan Kučera, Jaromír Šimša
2003· book· en· Mathematics
distilled prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Slow hit-and-run sampling
Claude Bélisle
2000· article· en· Statistics & Probability Letters· Mathematics
distilled prediction:candidate · noneconsensus · none
5
citations
affunlabeled
An Auxiliary Variable Method for MCMC Algorithms in High Dimension
Yosra Marnissi, Émilie Chouzenoux, Amel Benazza‐Benyahia, Jean‐Christophe Pesquet
2017· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Mathematics
distilled prediction:candidate · metaepi_narrowconsensus · none
5
citations
affunlabeled
Complexity Bounds for MCMC via Diffusion Limits
Gareth O. Roberts, Jeffrey S. Rosenthal
2014· preprint· en· arXiv (Cornell University)· Mathematics
distilled prediction:candidate · metaepi_narrowconsensus · none
5
citations
aboutno affunlabeled
The Algebraic Approach to Duality: An Introduction
Anja Sturm, Jan M. Swart, Florian Völlering
2020· preprint· en· Lecture notes series, Institute For Mathematical Sciences· Mathematics
distilled prediction:candidate · metaresearch+metaepi_narrowconsensus · none
5
citations
afffundvenueunlabeled
Markov Chain Confidence Intervals and Biases
Yu Hang Jiang, Tong Liu, Zhiya Lou, Jeffrey S. Rosenthal, Shanshan Shangguan, Fei Wang +1 more
2021· article· en· International Journal of Statistics and Probability· Mathematics
distilled prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Nonlinearity and Temporal Dependence
Lars Peter Hansen, Marine Carrasco
2008· article· en· RePEc: Research Papers in Economics· Mathematics
distilled prediction:candidate · noneconsensus · none
4
citations
← previousnext →

How this was built: Screen · Findings · About