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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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Artificial Intelligence Applications
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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.

122 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
122 works in the cohort · of 4,299,418page 2 of 3

Labels cover 0 of 122 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 122 of 122 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.

aboutno affunlabeled
1. The Serif-Less Letters of John Soane
2022· book· en· Anglia Ruskin Research Online (Anglia Ruskin University)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Abstract
2025· book-chapter· fr· University of Ottawa Press eBooks· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
<i>AGU Advances</i> Goes Online
Susan Trumbore, Ana P. Barros, Eric A. Davidson, B. L. Ehlmann, J. S. Famiglietti, Nicolas Gruber +10 more
2019· article· en· AGU Advances· Computer Science
machine prediction:candidate · scholarly_communication+insufficient_payloadconsensus · none
0
citations
affunlabeled
Review
Robert K. Logan
2017· article· en· Explorations in Media Ecology· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
AI Empowered
Babu George, Ontario S. Wooden
2025· book· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Smart collections
Richard Leibbrandt, Dongqiang Yang, Darius Pfitzner, David Powers, Pru Mitchell, Sarah Hayman +1 more
2021· article· en· IASL Annual Conference Proceedings· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
President's Page
Nadia Caidi
2016· article· en· Bulletin of the Association for Information Science and Technology· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Enhancing AI Models with Data Fusion Techniques
Dr. Michael Harris, Dr. Laura Smith
2023· article· American Journal of Artificial Intelligence and Neural Networks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Skills
Anne Rosken
2025· book-chapter· en· Business guides on the go· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
fundno affunlabeled
Is the end of insight in sight?
Jean‐Michel Tucny, Mihir Durve, Sauro Succi
2025· article· en· Frontiers in Physics· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
From the Editorial Board
Tad Smith
2013· article· en· The Leading Edge· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Making Waves
Sarah Green
2011· article· en· Anthropology News· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Law School Success: A Matter of Heart
Yan Campagnolo
2024· article· fr· Ottawa Law Review· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
General Conclusion
Abbas Poorhashemi
2024· book-chapter· en· SpringerBriefs in law· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
University of Winnipeg
2019· book-chapter· en· Palgrave Macmillan UK eBooks· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
“Print anything on everything”
2022· article· en· OPE Journal· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Journals
Jeffrey C. Allen, Caitlyn Jenkins, Allie Moustakis, Emily Poltorac, Mayank Bansal, Caitlyn Dignard +3 more
2023· article· en· Inquiry Queen s Undergraduate Research Conference Proceedings· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Preface
David Poole, Alan K. Mackworth
2010· book-chapter· en· Cambridge University Press eBooks· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
The Kinomatics Australian Film Production Dataset
Deb Verhoeven, Sophie Talalay Harvey, Aigul Kantoro, Juan Martinez Garcia, Vi Vo
2024· article· en· Research Data Journal for the Humanities and Social Sciences· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
fundaboutno affunlabeled
Welcome Message
2023· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
2. Constitution
2013· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
In The Digital Age
2014· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
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