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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
Retraction
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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.

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 ·
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20002025
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Machine labels · sparse coverage
Evidence
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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 14 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.

affunlabeled
Decision-Level Sensor-Fusion Based on DTRS
Bing Zhou, Yiyu Yao
2015· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Local Search for Attribute Reduction
Xiaojun Xie, Ryszard Janicki, Xiaolin Qin, Wei Zhao, Guangmei Huang
2019· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Rough sets:the classical and extended views
Ziarko Wojciech
2008· article· en· Journal of Chongqing University of Posts and Telecommunications· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Introduction to Fuzzy Sets and Logic
Ke-Lin Du, M. N. S. Swamy
2019· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Learning Complex Action Patterns with CRGST
Walter F. Bischof, Terry Caelli
2001· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
afffundunlabeled
Three-way decision with granular rough sets
Junfang Luo, Mengjun Hu, Chengjun Shi, Yiyu Yao
2025· article· en· Applied Soft Computing· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affaboutunlabeled
SOM
D. J. Tufts-Conrad, A. Nur Zincir‐Heywood, David Zitner
2003· article· no· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Research on the standardization strategy of granular computing
Donghang Liu, Xuekui Shangguan, Keyu Wei, Chensi Wu, Xiaoying Zhao, Qifeng Sun +2 more
2023· article· en· International Journal of Cognitive Computing in Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Preface
Davide Ciucci, Yiyu Yao
2011· article· la· Fundamenta Informaticae· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Towards Object-Relational Data Mining.
Francesca A. Lisi, Donato Malerba
2003· article· en· CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro)· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Rough set analysis of graphs
Sha Qiao, Ping Zhu, Witold Pedrycz
2022· article· en· Filomat· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About