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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
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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 12 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
Feedforward Concept Networks
Dominik Ślȩzak, Marcin Szczuka, Jakub Wróblewski
2006· book-chapter· en· Advances in soft computing· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
4
citations
affno abstractunlabeled
Granular Data Regression with Neural Networks
Mario G. C. A. Cimino, Beatrice Lazzerini, Francesco Marcelloni, Witold Pedrycz
2011· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+open_scienceconsensus · none
4
citations
affunlabeled
Rough Set Theory based Neural Network Architecture
S. Chandana, René V. Mayorga
2006· article· en· The 2006 IEEE International Joint Conference on Neural Network Proceedings· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
4
citations
affno abstractunlabeled
Rough Sets
Lech Polkowski, Yiyu Yao, Piotr Artiemjew, Davide Ciucci, Dun Liu, Dominik Ślȩzak +1 more
2017· book· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+open_scienceconsensus · none
3
citations
affno abstractunlabeled
Toward Approximate Adaptive Learning
James F. Peters
2007· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
3
citations
affunlabeled
Weighted λ precision models in rough set data analysis
Ivo Düntsch, Günther Gediga
2012· article· en· Federated Conference on Computer Science and Information Systems· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · scholarly_communication
3
citations
affno abstractunlabeled
Event prediction with rough-fuzzy sets
Debarati Bhunia Chakraborty, JingTao Yao
2022· article· en· Pattern Analysis and Applications· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Rough Sets and Data Mining
Jerzy W. Grzymala‐Busse, Wojciech Ziarko
2009· book-chapter· en· IGI Global eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
3
citations
affunlabeled
A Characterization of Lexicographic Preferences
Mridu Prabal Goswami, Manipushpak Mitra, Debapriya Sen
2021· article· en· Decision Analysis· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Discovering Perceptually Near Granules
James F. Peters
2010· book-chapter· en· IGI Global eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
3
citations
afffundunlabeled
Pneumonia Detection with Game-theoretic Rough Sets
Suby Singh, JingTao Yao
2021· article· en· 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations

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