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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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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.

affaffiliation
fundfunder
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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
Evidence
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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 3 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.

affunlabeled
Public library use of free e-resources
Heather Hill, Jenny Bossaller
2012· article· en· Journal of Librarianship and Information Science· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
aboutno affunlabeled
The Status of Library Automation at 2000
William Saffady
2000· article· en· Library Technology Reports· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
aboutno affunlabeled
Implementing LibGuides 2: An Academic Case Study
Vicky Duncan, Shannon Lucky, Jaclyn McLean
2015· article· en· Journal of Electronic Resources Librarianship· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
aboutno affunlabeled
Database Use Patterns in Public Libraries.
Carol Tenopir, Eleanor J. Read
2000· article· en· Reference & User Services Quarterly· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
venueno affunlabeled
Evaluating CD-ROM Software: A Model
T. D. Richards, Christine Robinson
2013· article· fr· Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
aboutno affunlabeled
Wiley (John) & Sons Inc.
2007· article· en· Mergent s Dividend Achievers· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
7
citations
venueno affunlabeled
The Market Demand for University Press Books 2008–15
Albert N. Greco, Robert M. Wharton
2010· article· en· Journal of Scholarly Publishing· Computer Science
machine prediction:candidate · bibliometrics+scholarly_communicationconsensus · none
7
citations
aboutno affunlabeled
Integrated Ecommerce in the Library
Jerry Kline, Don Barlow
2006· article· en· Journal of Library Administration· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations

How this was built: Screen · Findings · About