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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.

affaffiliation
fundfunder
venuejournal
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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
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 3 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.

affunlabeled
A rough sets based approach to feature selection
M. Zhang, JingTao Yao
2004· article· en· IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS '04.· Computer Science
distilled prediction:candidate · noneconsensus · none
68
citations
affno abstractunlabeled
Web-Based Support Systems with Rough Set Analysis
JingTao Yao, Joseph P. Herbert
2007· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
65
citations
affno abstractunlabeled
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
Guoyin Wang, Qing Liu, Yiyu Yao, Andrzej Skowron
2003· book· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+open_scienceconsensus · none
64
citations
affno abstractunlabeled
Transactions on Rough Sets IV
James F. Peters, Andrzej Skowron
2005· book· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
63
citations
affunlabeled
Calculi of Approximation Spaces
Andrzej Skowron, Jarosław Stepaniuk, James F. Peters, Roman W. Świniarski
2006· article· en· Fundamenta Informaticae· Computer Science
distilled prediction:candidate · noneconsensus · none
59
citations
affno abstractunlabeled
Interval kernel Fuzzy C-Means clustering of incomplete data
Tianhao Li, Liyong Zhang, Wei Lu, Hui Hou, Xiaodong Liu, Witold Pedrycz +1 more
2017· article· en· Neurocomputing· Computer Science
distilled prediction:candidate · open_scienceconsensus · open_science
59
citations
affunlabeled
Rough clustering
Pawan Lingras, Georg Peters
2011· article· en· Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery· Computer Science
distilled prediction:candidate · metaepi_narrow+open_scienceconsensus · none
51
citations
affno abstractunlabeled
Shadowed sets of dynamic fuzzy sets
Mingjie Cai, Qingguo Li, Guangming Lang
2016· article· en· Granular Computing· Computer Science
distilled prediction:candidate · noneconsensus · none
51
citations
afffundno abstractunlabeled
Boosting of granular models
Witold Pedrycz, Keun Chang Kwak
2006· article· en· Fuzzy Sets and Systems· Computer Science
distilled prediction:candidate · noneconsensus · none
49
citations
affno abstractunlabeled
Behavioral Pattern Identification Through Rough Set Modelling
Jan G. Bazan, James F. Peters, Andrzej Skowron
2005· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
49
citations
affno abstractunlabeled
A General Definition of an Attribute Reduct
Yan Zhao, Feng Luo, S. K. M. Wong, Yiyu Yao
2007· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
46
citations
affno abstractunlabeled
Fuzzy-Rough Cognitive Networks
Gonzalo Nápoles, Carlos Javier Mosquera, Rafael Falcón, Isel Grau, Rafael Bello, Koen Vanhoof
2017· article· en· Neural Networks· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
44
citations
affunlabeled
Rough Neural Computing in Signal Analysis
J. F. Peters, L. Han, Sheela Ramanna
2001· article· en· Computational Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
44
citations
affunlabeled
What ROC Curves Can't Do (and Cost Curves Can).
Chris Drummond, Robert C. Holte
2004· article· en· Diabetes Research and Clinical Practice· Computer Science
distilled prediction:candidate · metaresearch+scholarly_communicationconsensus · none
43
citations
affunlabeled
Human-Inspired Granular Computing
Yiyu Yao
2010· book-chapter· en· IGI Global eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
43
citations

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