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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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Cognitive Science and Mapping
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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
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

552 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.
552 works in the cohort · of 4,299,418page 9 of 12

Labels cover 0 of 552 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 552 of 552 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
REPORTS ON ACTIVITIES R6: REPORTS ON MANDELBROT ACTIVITIES
Neil J. Calkin, Eunice Y. S. Chan, Robert M. Corless
2023· book-chapter· en· Society for Industrial and Applied Mathematics eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
aboutno affunlabeled
Second Anniversary
Mihaela Chraif, Vlad Petre Glăveanu
2006· article· en· Europe’s Journal of Psychology· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Cognitive models, inferencing and affect
Jessica de Villiers
2010· book-chapter· en· Cambridge University Press eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Decision making
2018· book-chapter· en· Cambridge University Press eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
venueno affunlabeled
Evaluations of Information Assymetry
Tsvetkov Victor Yakovlevich
2015· article· en· Modern Applied Science· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Issue Information
2021· paratext· en· Canadian Journal of Statistics· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Make Them Care
Itai Cohen, Melanie Dreyer-Lude
2019· book-chapter· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Episodic accounts of spreading Brooksification.
Kevin W. Eva, Scott W. Allen
2005· article· en· Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Preface
Simon Haykin
2012· book-chapter· en· Cambridge University Press eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
InductiveQE Datasets
Mikhail Galkin
2022· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
distilled prediction:candidate · sts+scholarly_communication+open_science+insufficient_payloadconsensus · open_science+insufficient_payload
0
citations
affunlabeled
Perceptlets: Key to Machine Learning
Guy Baron Olney, Leland Eugene Olney
2025· article· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About