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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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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.

1,100 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.
1,100 works in the cohort · of 4,299,418page 12 of 22

Labels cover 1 of 1,100 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 1,100 of 1,100 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Generative AI for Data Scraping
Eddy Hage-Youssef, Maxime C. Cohen
2025· preprint· en· SSRN Electronic Journal· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Association Rules
Paul D. McNicholas, Yanchang Zhao
2009· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
fundno affno abstractunlabeled
Machine Learning and Knowledge Discovery in Databases
Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas
2023· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
fundno affno abstractunlabeled
Machine Learning and Knowledge Discovery in Databases
Massih-Réza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas
2023· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Association Measures and Matrices
Daniel Borcard, François Gillet, Pierre Legendre
2018· book-chapter· en· Use R!· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
On the Edge: Statistics & Computing
Duncan J. Murdoch, Vincent J. Carey
2001· article· en· CHANCE· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Efficient Mining of Pareto-Front High Expected Utility Patterns
Usman Ahmed, Jerry Chun‐Wei Lin, Jimmy Ming‐Tai Wu, Youcef Djenouri, Gautam Srivastava, Suresh Kumar Mukhiya
2020· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Bitwise Vertical Mining of Minimal Rare Patterns
Elieser Capillar, Chowdhury Abdul Mumin Ishmam, Carson K. Leung, Adam G.M. Pazdor, Prabhanshu Shrivastava, Ngoc Bao Chau Truong
2023· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
WebKDD 2008
Olfa Nasraoui, Myra Spiliopoulou, Osmar R. Zai͏̈ane, Jaideep Srivastava, Bamshad Mobasher
2008· article· en· ACM SIGKDD Explorations Newsletter· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
3
citations
affunlabeled
iVAS
Carson K. Leung, Christopher L. Carmichael
2011· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
3
citations
affno abstractunlabeled
Mining Weighted Frequent Itemsets with the Recency Constraint
Jerry Chun‐Wei Lin, Wensheng Gan, Philippe Fournier‐Viger, Tzung‐Pei Hong
2015· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
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