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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 Hi Tech
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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.

69 results · 1 filter active ·
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20002024
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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.
69 works in the cohort · of 4,299,418page 1 of 2

Labels cover 2 of 69 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 69 of 69 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
Fake news: belief in post-truth
Nick Rochlin
2017· article· en· Library Hi Tech· Social Sciences
machine prediction:candidate · noneconsensus · none
189
citations
affunlabeled
Open Journal Systems
John Willinsky
2005· article· en· Library Hi Tech· Arts and Humanities
machine prediction:candidate · scholarly_communicationconsensus · none
100
citations
affunlabeled
Research in librarianship: issues to consider
Denise Koufogiannakis, Ellen Crumley
2006· article· en· Library Hi Tech· Social Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
72
citations
aboutno affunlabeled
Next generation or current generation?
Sharon Q. Yang, Melissa A. Hofmann
2011· article· en· Library Hi Tech· Computer Science
machine prediction:candidate · noneconsensus · none
45
citations
affgemma · no categorygpt · no categorymodels split
A study of collaborative storage of library resources
Steve O’Connor, Andrew Wells, Mel Collier
2002· article· en· Library Hi Tech· Computer Science
machine prediction:candidate · scholarly_communicationconsensus · none
32
citations
affunlabeled
One box to search them all
Ian Gibson, Lisa Goddard, Shannon Gordon
2009· article· en· Library Hi Tech· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
32
citations
aboutno affunlabeled
Measuring the funding landscape of COVID-19 research
Sheikh Shueb, Sumeer Gul, Nahida Tun Nisa, Taseen Shabir, Shafiq Ur Rehman, Aabid Hussain
2021· article· en· Library Hi Tech· Mathematics
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
24
citations
affunlabeled
A new world for virtual reference
Krista Godfrey
2008· article· en· Library Hi Tech· Psychology
machine prediction:candidate · noneconsensus · none
19
citations
affunlabeled
Retrocomputing as preservation and remix
Yuri Takhteyev, Quinn DuPont
2013· article· en· Library Hi Tech· Arts and Humanities
machine prediction:candidate · noneconsensus · none
16
citations
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