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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 5 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.

affno abstractunlabeled
A Granular Computing Paradigm for Concept Learning
Yiyu Yao, Xiaofei Deng
2012· book-chapter· en· Smart innovation, systems and technologies· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
29
citations
affno abstractunlabeled
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
Yiyu Yao, Qinghua Hu, Hong Yu, Jerzy W. Grzymala‐Busse
2015· book· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+open_scienceconsensus · open_science
29
citations
affno abstractunlabeled
Feature Selection with Adjustable Criteria
JingTao Yao, Ming Zhang
2005· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
28
citations
afffundunlabeled
Perception-based image classification
Christopher A. Henry, James F. Peters
2010· article· en· International Journal of Intelligent Computing and Cybernetics· Computer Science
distilled prediction:candidate · noneconsensus · none
27
citations
afffundunlabeled
Applications of Rough Genetic Algorithms
Pawan Lingras, Cedric Davies
2001· article· en· Computational Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
27
citations
affno abstractunlabeled
Rough Sets and Current Trends in Computing
2001· book· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
27
citations
affno abstractunlabeled
Transactions on Rough Sets X
James F. Peters, Wei-Zhi Wu, Marcin Wolski, Andrzej Skowron, Mihir K. Chakraborty
2009· book· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
24
citations
affno abstractunlabeled
Rough cognitive ensembles
Gonzalo Nápoles, Rafael Falcón, Elpiniki I. Papageorgiou, Rafael Bello, Koen Vanhoof
2017· article· en· International Journal of Approximate Reasoning· Computer Science
distilled prediction:candidate · noneconsensus · none
22
citations
affno abstractunlabeled
K-means Indiscernibility Relation over Pixels
James F. Peters, Maciej Borkowski
2004· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
21
citations

How this was built: Screen · Findings · About