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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.

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.

1,694 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.
1,694 works in the cohort · of 4,299,418page 26 of 34

Labels cover 10 of 1,694 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 1,694 of 1,694 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.

affunlabeled
Learning Analytics and xAPI
David Topps, Ellen Meiselman
2019· dataset· en· Harvard Dataverse· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
"Fogo"
2015· article· en· Civil War Book Review· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Interview grid.
2024· article· en· Figshare· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Les
2018· article· fr· Springer Link (Chiba Institute of Technology)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Session details: WEBED'16
Jacqueline Bourdeau, Bebo White, Irwin King
2016· article· en· The Web Conference· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affvenueunlabeled
AI Enabled Automated Student Q&A Tool: Prof Notes AI
Amanullah Asim, Juaquin Ramirez-Medina, Alidad Amirfazli
2025· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Learning Analytics and Linked Data
Hendrik Drachsler, Abelardo Pardo
2012· other· en· DSpace (Open University in the Netherlands)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Episode 11: A glimpse inside a COVID-19 unit
2020· other· en· Bulletin of Miscellaneous Information (Royal Gardens Kew)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Primary Challenges
2025· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
⁹⁸ⁿ
2022· other· ar· Bulletin of Miscellaneous Information (Royal Gardens Kew)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Koli Calling Conference Report
Andrew Petersen, Ilkka Jormanainen
2023· article· en· ACM SIGCSE Bulletin· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
MOOCs Gone Wild
2014· article· en· RUA, Repositorio Institucional de la Universidad de Alicante (Universidad de Alicante)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About