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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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Proceedings 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
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.

284 results · 1 filter active ·
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20022014
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Machine labels · sparse coverage
Evidence
Language
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Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
284 works in the cohort · of 4,299,418page 2 of 6

Labels cover 2 of 284 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 284 of 284 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
Taking leisure seriously: Information realities in leisure time
Jenna Hartel, Robert A. Stebbins, Crystal Fulton, Shan Ju Chang, Donald O. Case
2006· article· en· Proceedings of the American Society for Information Science and Technology· Psychology
machine prediction:candidate · noneconsensus · none
9
citations
afffundunlabeled
Engagement as process in human‐computer interactions
Heather L. O’Brien, Elaine G. Toms
2005· article· en· Proceedings of the American Society for Information Science and Technology· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
affgemma · bibliometrics+metaresearchgpt · metaresearch+bibliometricsmodels split
Going beyond counting first authors in author co‐citation analysis
Dangzhi Zhao
2005· article· en· Proceedings of the American Society for Information Science and Technology· Decision Sciences
machine prediction:candidate · bibliometricsconsensus · none
7
citations
affunlabeled
An evaluation framework for outcome and impact measures
Rhiannon Gainor, France Bouthillier
2014· article· en· Proceedings of the American Society for Information Science and Technology· Business, Management and Accounting
machine prediction:candidate · metaresearchconsensus · metaresearch
6
citations
affunlabeled
Towards positive information science?
Jenna Hartel, Jarkko Kari, Robert A. Stebbins, Marcia J. Bates
2009· article· en· Proceedings of the American Society for Information Science and Technology· Social Sciences
machine prediction:candidate · scholarly_communicationconsensus · none
6
citations
affunlabeled
Social tagging & folksonomies: Indexing, retrieving… and beyond?
Isabella Peters, Margaret E. I. Kipp, Tamara Heck, Jacek Gwizdka, Kun Lü, Diane Rasmussen Pennington +1 more
2011· article· en· Proceedings of the American Society for Information Science and Technology· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Dispelling the Myths Behind First‐author Citation Counts
Dangzhi Zhao
2006· article· en· Proceedings of the American Society for Information Science and Technology· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · metaresearch
6
citations
affunlabeled
Filtering for medical news items
Carolyn Watters, Wanhong Zheng, Evangelos Milios
2002· article· en· Proceedings of the American Society for Information Science and Technology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Information curation
Jenna Jacobson
2012· article· en· Proceedings of the American Society for Information Science and Technology· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Navigational characteristics of e‐document readers
Muhammad Asim Qayyum, Igor Bilykh
2005· article· en· Proceedings of the American Society for Information Science and Technology· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Information use in group decision making teams
Lu Xiao, Vanessa Eastmure
2014· article· en· Proceedings of the American Society for Information Science and Technology· Psychology
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Metatheoretical snowmen
Jenna Hartel
2009· article· en· Proceedings of the American Society for Information Science and Technology· Psychology
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Avoiding determinism: New research into the discovery of information
Sanda Erdelez, John M. Budd, Victoria L. Rubin, Jacquelyn Burkell, Anabel Quan‐Haase
2011· article· en· Proceedings of the American Society for Information Science and Technology· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
4
citations
afffundunlabeled
Viral video: Describing online multimedia information flows
Abby Goodrum, Zachary Devereaux, Andrew Smith
2009· article· en· Proceedings of the American Society for Information Science and Technology· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations

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