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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 Organizational and End User Computing
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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.

28 results · 1 filter active ·
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20012025
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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.
28 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 28 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 28 of 28 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
Intentions to Use Information Technologies
Ron Thompson, Deborah Compeau, Christopher D. Higgins
2006· article· en· Journal of Organizational and End User Computing· Decision Sciences
machine prediction:candidate · noneconsensus · none
180
citations
fundno affunlabeled
Social Media Tools Adoption and Use by SMES
Samuel Fosso Wamba, Lemuria Carter
2014· article· en· Journal of Organizational and End User Computing· Social Sciences
machine prediction:candidate · noneconsensus · none
163
citations
affunlabeled
Testing the Technology-to-Performance Chain Model
D. Sandy Staples, Peter B. Seddon
2004· article· en· Journal of Organizational and End User Computing· Decision Sciences
machine prediction:candidate · noneconsensus · none
158
citations
affunlabeled
Measuring E-Learners' Perceptions of Service Quality
Silvester Ivanaj, Grâce-Blache Nganmini, Alain Antoine
2019· article· en· Journal of Organizational and End User Computing· Social Sciences
machine prediction:candidate · noneconsensus · none
71
citations
affunlabeled
Strategic Information System Planning in Healthcare Organizations
Theresa Min-Hyung Lee, Amir Hossein Ghapanchi, Amir Talaei‐Khoei, Pradeep Ray
2015· article· en· Journal of Organizational and End User Computing· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
19
citations
affunlabeled
Knowledge Appraisal and Knowledge Management Systems
Hannah Standing Rasmussen, Nicole Haggerty
2008· article· en· Journal of Organizational and End User Computing· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Assessing Web-Enabled Interactivity
Barbara L. Marcolin, Nicole Coviello, Roger Milley
2005· article· en· Journal of Organizational and End User Computing· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
In or Out
Yinglei Wang, Darren Meister, Peter Gray
2011· article· en· Journal of Organizational and End User Computing· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
fundno affunlabeled
Cybersecurity and Social Media Networks for Donations
Assion Lawson‐Body, Jeremy Jackson, Verlin B. Hinsz, Abdou Illia, Laurence Lawson-Body
2023· article· en· Journal of Organizational and End User Computing· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Information Systems Project Management Risk
Stefan Tams, Kevin Hill
2015· article· en· Journal of Organizational and End User Computing· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Semantic Composition of Web Portal Components
Jens H. Jahnke, Yury Bychkov, Dominik Dahlem, Luay Kawasme
2006· article· en· Journal of Organizational and End User Computing· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About