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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.

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Rough Sets and Fuzzy Logic
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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.

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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 ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
939 works in the cohort · of 4,299,418page 15 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. 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.

venueno affunlabeled
A categorical approach to integration
Reinhard Börger
2010· article· en· Theory and applications of categories· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Discriminant versus Strong Rule Sets
Jerzy W. Grzymala‐Busse, Witold J. Grzymała-Busse, Jay Hamilton
2006· book-chapter· en· Advances in soft computing· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Fusion of equipment reliability data through knowledge graphs
Congjian Wang, Diego Mandelli, C.M. Godbole, Vernika Agarwal, M. Movassat, B. Mori +4 more
2025· article· en· Reliability Engineering & System Safety· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
On some concept lattice of social choice functions
Piotr Wasilewski, Janusz Kacprzyk, Sławomir Zadrożny
2023· article· en· Annals of Computer Science and Information Systems· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Preface
Guoyin Wang, Andrzej Skowron, Yiyu Yao, Hong Yu
2012· article· la· Fundamenta Informaticae· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affunlabeled
Rough Set Theory based Neural Network Architecture
S. Chandana, R.V. Mayorga
2006· article· en· The 2006 IEEE International Joint Conference on Neural Network Proceedings· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Interactive Classification Using a Granule Network
Yan Zhao, Yiyu Yao
2007· article· en· International Journal of Cognitive Informatics and Natural Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Une introduction aux probabilités.
Sylvain Rubenthaler, Pierre Del Moral, Bruno Rémillard
2005· preprint· fr· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
The Tensor Products of Unital Quantales
Shaohui Liang
2013· article· en· Studies in mathematical sciences· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Mathematical Morphology via Category Theory
Hossein Memarzadeh Sharifipour, Bardia Yousefi
2020· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Rough Set Theory Applied to Feature Selection
James Júnior, N. F. Leite, Josias Batista Guimarães, João Alexandre Lôbo Marques, Sérgio Silva Ribeiro, Auzuir Ripardo de Alexandria
2025· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About