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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.

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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 2 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
The Art of Granular Computing
2007· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
136
citations
afffundno abstractunlabeled
Rough Sets and Bayes Factor
2005· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
120
citations
affno abstractunlabeled
Foundations of near sets
2009· article· en· Information Sciences· Computer Science
distilled prediction:candidate · noneconsensus · none
113
citations
affno abstractunlabeled
Naive Bayesian Rough Sets
2010· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+open_scienceconsensus · none
105
citations
affunlabeled
Granular Computing Using Information Tables
2002· book-chapter· en· Studies in fuzziness and soft computing· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
100
citations
affno abstractunlabeled
Transactions on Rough Sets IX
2008· book· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
75
citations
afffundno abstractunlabeled
Criteria for choosing a rough set model
2008· article· en· Computers & Mathematics with Applications· Computer Science
distilled prediction:candidate · noneconsensus · none
74
citations
affunlabeled
Granular Mappings
2005· article· en· IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
70
citations
affunlabeled
Data Mining Based on Rough Sets
2003· book-chapter· en· IGI Global eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
68
citations
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