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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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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.

2,372 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.
2,372 works in the cohort · of 4,299,418page 12 of 48

Labels cover 1 of 2,372 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 2,372 of 2,372 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Ensemble of Multiple Kernel SVM Classifiers
Xiaoguang Wang, Xuan Liu, Nathalie Japkowicz, Stan Matwin
2014· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
9
citations
fundno affunlabeled
Risk Bounds for Reservoir Computing
Lukas Gonon, Lyudmila Grigoryeva, Juan‐Pablo Ortega
2020· article· en· Alexandria (UniSG) (University of St.Gallen)· Computer Science
distilled prediction:candidate · noneconsensus · none
9
citations
fundno affunlabeled
MEASURING DEPENDENCE VIA MUTUAL INFORMATION
Shan Zhen Lu
2011· dissertation· en· QSpace (Queen's University Library)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
9
citations
affno abstractunlabeled
Gradient-based Optimization of Neural Network Architecture.
Will Grathwohl, Elliot Creager, Seyed Kamyar Seyed Ghasemipour, Richard S. Zemel
2018· article· en· International Conference on Learning Representations· Computer Science
distilled prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Fisher-Based Inaccuracy Information Measure
Omid Kharazmi, Javier E. Contreras‐Reyes, N. Balakrishnan
2024· article· en· Fluctuation and Noise Letters· Computer Science
distilled prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Fuzzy Logic and Neural Networks
Nishith D. Tripathi, Jeffrey H. Reed, H.F. VanLandingham
2001· book-chapter· en· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations

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