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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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Library Collection Development and Digital Resources
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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.

920 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.
920 works in the cohort · of 4,299,418page 17 of 19

Labels cover 20 of 920 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 920 of 920 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.

affvenueunlabeled
Perspectives on Academic Publishing: Can we Find Common Ground?
Samuel Cassady, Asen O. Ivanov, Catherine Johnson, Heidi Julien, Alec Brookes, Stephanie Kaelin +2 more
2020· article· en· Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI· Computer Science
machine prediction:candidate · scholarly_communicationconsensus · none
0
citations
aboutno affunlabeled
ARL Statistics 2024
Anam Mian, Holly Gross
2025· book· en· ARL statistics· Computer Science
machine prediction:candidate · bibliometricsconsensus · none
0
citations
aboutno affunlabeled
Another OA overview
Peter Suber
2005· preprint· en· Computer Science
machine prediction:candidate · scholarly_communication+open_scienceconsensus · none
0
citations
affvenueunlabeled
Google Books
Toni Beaton
2025· article· en· Pathfinder A Canadian Journal for Information Science Students and Early Career Professionals· Computer Science
machine prediction:candidate · scholarly_communication+insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Our Billion-Dollar Donation to the Publishing Industry
Peter C. Black
2021· article· fr· Société Internationale d’Urologie Journal· Computer Science
machine prediction:candidate · scholarly_communication+insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Cleaning out the Clutter
Paul Tarricone
2019· article· en· Lighting Design + Application· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Managing a Large-Scale Weeding Project
Leslie Engelson
2019· article· en· ATLA Summary of Proceedings· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Navigating the New Normal
Trevor Deck, Kevin Madill, Brian McMillan
2024· article· en· CAML Review / Revue de l ACBM· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Wiley (John) & Sons Inc.
2007· article· en· Mergent s Dividend Achievers· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
The unbook
Lynn Greiner
2009· article· en· netWorker· Computer Science
machine prediction:candidate · scholarly_communicationconsensus · none
0
citations
affunlabeled
Print vs. Digital Collections in Special Libraries
Dawn Bassett, Maha Kumaran
2014· book-chapter· en· Advances in information quality and management· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Serials Spoken Here
Luca Filippi, Rebecca Tatterson, Jen Montavon-Green, Michelle Colquitt, Amanda Calabrese, Julie Schaeffer +1 more
2023· article· en· Serials Review· Computer Science
machine prediction:candidate · scholarly_communication+insufficient_payloadconsensus · none
0
citations
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How this was built: Screen · Findings · About