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
Rough Sets and Fuzzy Logic
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.

939 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.
939 works in the cohort · of 4,299,418page 10 of 19

Labels cover 1 of 939 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 939 of 939 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundunlabeled
Sensor fusion: a rough Petri net model
James F. Peters, Sheela Ramanna, Maciej Borkowski, Andrzej Skowron, Zbigniew Suraj
2002· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
affunlabeled
XClusters: Explainability-First Clustering
Hyunseung Hwang, Steven Euijong Whang
2023· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
Uncertainty and three-way decision in data science
JingTao Yao, Chris Cornelis, Guoyin Wang, Yiyu Yao
2023· article· en· International Journal of Approximate Reasoning· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Anisotropic Wavelet-Based Image Nearness Measure
James F. Peters, Leszek Puzio
2009· article· en· International Journal of Computational Intelligence Systems· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
Collaborative Rough Clustering
Sushmita Mitra, Haider Banka, Witold Pedrycz
2005· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
6
citations
afffundunlabeled
From Fuzzy Rule-Based Models to Granular Models
Ye Cui, E Hanyu, Witold Pedrycz, Zhiwu Li, Xianmin Wang
2024· article· en· IEEE Transactions on Fuzzy Systems· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
6
citations
affno abstractunlabeled
Granular State Space Search
Jigang Luo, Yiyu Yao
2011· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
6
citations
affno abstractunlabeled
An Introduction to Rough Sets
Yiyu Yao, Dominik Ślȩzak
2012· book-chapter· en· Advanced information and knowledge processing· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Preferential Infinitesimals for Information Retrieval
Maria Chowdhury, Alex Thomo, William W. Wadge
2009· book-chapter· en· IFIP advances in information and communication technology· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
afffundunlabeled
Cognitive Errors Detection
Jianguo Hao, Sébastien Gaboury, Bruno Bouchard
2016· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
affunlabeled
LGML: Logic Guided Machine Learning (Student Abstract)
Joseph Scott, Maysum Panju, Vijay Ganesh
2020· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Formal Concept Analysis
Petko Valtchev, Robert Jäschke
2011· book· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+open_scienceconsensus · none
5
citations
affno abstractunlabeled
Transactions on Rough Sets XXIII
James F. Peters, Andrzej Skowron, Rabi Nanda Bhaumik, Sheela Ramanna
2022· book· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
5
citations
affunlabeled
A Unified Differentiable Boolean Operator with Fuzzy Logic
Hsueh‐Ti Derek Liu, Maneesh Agrawala, Cem Yuksel, Tim Omernick, Vinith Misra, Stefano Corazza +2 more
2024· preprint· en· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
5
citations

How this was built: Screen · Findings · About