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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 American Society 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
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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.

141 results · 1 filter active ·
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20012013
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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.
141 works in the cohort · of 4,299,418page 3 of 3

Labels cover 29 of 141 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 141 of 141 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.

aboutno affunlabeled
Research methods in information
Kalpana Shankar
2007· article· en· Journal of the American Society for Information Science and Technology· Social Sciences
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
The role of user profiles for news filtering
Michael Shepherd, John Duffy, Carolyn Watters, Nitin Gugle
2001· article· en· Journal of the American Society for Information Science and Technology· Computer Science
machine prediction:candidate · noneconsensus · none
14
citations
affgemma · stsgpt · bibliometricsmodels split
The diffusion of theories: A functional approach
Betsy Van der Veer Martens, Abby Goodrum
2005· article· en· Journal of the American Society for Information Science and Technology· Decision Sciences
machine prediction:candidate · bibliometricsconsensus · none
14
citations
affunlabeled
An index to measure a scientist's specific impact
Alex De Visscher
2009· article· en· Journal of the American Society for Information Science and Technology· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
13
citations
affunlabeled
Subjectivity and information ethics1
Bernd Frohmann
2007· article· en· Journal of the American Society for Information Science and Technology· Social Sciences
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Developing a visual taxonomy: Children's views on aesthetics
Andrew Large, Jamshid Beheshti, Nahid Tabatabaei, Valerie Nesset
2009· article· en· Journal of the American Society for Information Science and Technology· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
affgemma · no categorygpt · no categorymodels split
An examination of multisession web tasks
Bonnie MacKay, Carolyn Watters
2012· article· en· Journal of the American Society for Information Science and Technology· Decision Sciences
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
The role of user profiles for news filtering
Michael Shepherd, John Duffy, Carolyn Watters, Nitin Gugle
2001· article· en· Journal of the American Society for Information Science and Technology· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
afffundgemma · scholarly_communicationgpt · scholarly_communicationmodels split
Constructing a true<scp>LCSH</scp>tree of a science and engineering collection
Charles‐Antoine Julien, Pierre Tirilly, John E. Leide, Catherine Guastavino
2012· article· en· Journal of the American Society for Information Science and Technology· Computer Science
machine prediction:candidate · scholarly_communicationconsensus · none
11
citations
affno abstractgemma · no categorygpt · no categorymodels split
Comment on Hjørland's concept theory
Rick Szostak
2009· article· en· Journal of the American Society for Information Science and Technology· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
aboutno affno abstractunlabeled
The law of libraries and archives
Laurel Tarulli
2008· article· en· Journal of the American Society for Information Science and Technology· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affaboutgemma · metaresearchgpt · no categorymodels split
The impact of survey data: Measuring success
Elizabeth C. Hamilton
2006· article· en· Journal of the American Society for Information Science and Technology· Mathematics
machine prediction:candidate · metaresearch+bibliometricsconsensus · metaresearch
3
citations
affunlabeled
Addressing gaps in knowledge while reading
Chris Jordan, Carolyn Watters
2009· article· en· Journal of the American Society for Information Science and Technology· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
fundno affunlabeled
A labor theoretic approach to information retrieval
Julian Warner
2008· article· en· Journal of the American Society for Information Science and Technology· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
fundno affgemma · bibliometricsgpt · bibliometricsmodels agree
Modeling the relationship between an emerging infectious disease epidemic and the body of scientific literature associated with it: The case of <scp>HIV</scp>/<scp>AIDS</scp> in the <scp>U</scp>nited <scp>S</scp>tates
Jeff Naidoo, Jeffrey T. Huber, Pamela K. Cupp, Qishan Wu
2012· article· en· Journal of the American Society for Information Science and Technology· Medicine
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
2
citations
affgemma · metaresearch+bibliometricsgpt · bibliometrics+metaresearchmodels agree
Determining the impact factors of secondary journals: A retrospective cohort study
Cynthia Lokker, R. Brian Haynes, K. Ann McKibbon, Nancy L Wilczynski
2011· article· en· Journal of the American Society for Information Science and Technology· Health Professions
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
1
citations

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