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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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Journal of the Association for Information Science and Technology
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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.

151 results · 1 filter active ·
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20132025
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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.
151 works in the cohort · of 4,299,418page 2 of 4

Labels cover 33 of 151 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 151 of 151 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.

affgemma · no categorygpt · no categorymodels agree
Trustworthiness attribution: Inquiry into insider threat detection
Shuyuan Mary Ho, Michelle L. Kaarst‐Brown, Izak Benbasat
2017· article· en· Journal of the Association for Information Science and Technology· Computer Science
machine prediction:candidate · noneconsensus · none
24
citations
afffundunlabeled
Use of politeness strategies in signed open peer review
Syavash Nobarany, Kellogg S. Booth
2014· article· en· Journal of the Association for Information Science and Technology· Arts and Humanities
machine prediction:candidate · metaresearch+scholarly_communicationconsensus · none
23
citations
affgemma · bibliometrics+metaresearchgpt · metaresearch+bibliometrics+scholarly_communicationmodels split
Co‐saved, co‐tweeted, and co‐cited networks
Fereshteh Didegah, Mike Thelwall
2018· article· en· Journal of the Association for Information Science and Technology· Decision Sciences
machine prediction:candidate · bibliometricsconsensus · none
21
citations
afffundunlabeled
Improving interpretations of topic modeling in microblogs
Sarah A. Alkhodair, Benjamin C. M. Fung, Osmud Rahman, Patrick C. K. Hung
2017· article· en· Journal of the Association for Information Science and Technology· Computer Science
machine prediction:candidate · noneconsensus · none
20
citations
affunlabeled
The Social Informatics of Ignorance
Devon Greyson
2019· article· en· Journal of the Association for Information Science and Technology· Social Sciences
machine prediction:candidate · stsconsensus · none
19
citations
afffundunlabeled
Interacting with archival finding aids
Luanne Freund, Elaine G. Toms
2015· article· en· Journal of the Association for Information Science and Technology· Arts and Humanities
machine prediction:candidate · noneconsensus · none
19
citations
afffundaboutunlabeled
Climate change information seeking
Chun Wei Choo
2023· article· en· Journal of the Association for Information Science and Technology· Social Sciences
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
Visualizing the world's scientific publications
Rex Chen, Chi‐Ming Chen
2015· article· en· Journal of the Association for Information Science and Technology· Physics and Astronomy
machine prediction:candidate · bibliometricsconsensus · none
15
citations
aboutno affunlabeled
The rise of multiple institutional affiliations in academia
Hanna Hottenrott, Michael E. Rose, Cornelia Lawson
2021· preprint· en· Journal of the Association for Information Science and Technology· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
10
citations
affgemma · bibliometricsgpt · no categorymodels split
A webometric analysis of the online vaccination debate
Anton Ninkov, Liwen Vaughan
2017· article· en· Journal of the Association for Information Science and Technology· Computer Science
machine prediction:candidate · bibliometricsconsensus · none
10
citations
afffundunlabeled
The effects of simulated interruptions on mobile search tasks
Orland Hoeber, Morgan Harvey, Shaheed Ahmed Dewan Sagar, Matthew Pointon
2021· article· en· Journal of the Association for Information Science and Technology· Decision Sciences
machine prediction:candidate · noneconsensus · none
10
citations

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