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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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Usability and User Interface Design
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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.

434 results · 1 filter active ·
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20002025
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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.
434 works in the cohort · of 4,299,418page 1 of 9

Labels cover 1 of 434 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 434 of 434 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
Human–Computer Interaction
Jeremy R. Cooperstock
2009· other· en· Wiley Encyclopedia of Computer Science and Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
804
citations
affunlabeled
The state of user-centered design practice
Ji‐Ye Mao, Karel Vredenburg, Paul W. Smith, Tom Carey
2005· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · noneconsensus · none
473
citations
affunlabeled
Heuristic evaluation for games
David Pinelle, Nelson Wong, Tadeusz Stach
2008· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
415
citations
affunlabeled
Task analysis for groupware usability evaluation
David Pinelle, Carl Gutwin, Saul Greenberg
2003· article· en· ACM Transactions on Computer-Human Interaction· Computer Science
machine prediction:candidate · noneconsensus · none
303
citations
affunlabeled
The notification collage
Saul Greenberg, Michael Rounding
2001· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
300
citations
affunlabeled
Interface design for mobile commerce
Young Eun Lee, Izak Benbasat
2003· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · noneconsensus · none
235
citations
affaboutunlabeled
Proceedings of Graphics Interface 2006
Carl Gutwin, Stephen Mann
2006· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
227
citations
affaboutunlabeled
Proceedings of Graphics Interface 2008
Chris Shaw, Lyn Bartram
2008· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
160
citations
affunlabeled
Groupware walkthrough
David Pinelle, Carl Gutwin
2002· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
151
citations
affunlabeled
User interface façades
Wolfgang Stuerzlinger, Olivier Chapuis, Dusty Phillips, Nicolas Roussel
2006· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
143
citations
affaboutunlabeled
Proceedings of Graphics Interface 2010
David Mould, Sylvie Noël
2010· article· en· Graphics Interface· Computer Science
machine prediction:candidate · noneconsensus · none
143
citations
affunlabeled
A review of groupware evaluations
David Pinelle, Carl Gutwin
2002· review· en· Computer Science
machine prediction:candidate · noneconsensus · none
113
citations
affunlabeled
Panelrama
Jishuo Yang, Daniel Wigdor
2014· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
111
citations
affunlabeled
Semantic telepointers for groupware
Saul Greenberg, Carl Gutwin, Mark Roseman
2002· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
104
citations
affunlabeled
Post-deployment usability
Parmit K. Chilana, Amy J. Ko, Jacob O. Wobbrock, Tovi Grossman, George Fitzmaurice
2011· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
79
citations
venueno affunlabeled
Usability Evaluation of the Student Centered e-Learning Environment
Inas Sofiyah Junus, Harry Budi Santoso, R. Yugo Kartono Isal, Andika Yudha Utomo
2015· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · noneconsensus · none
70
citations
affaboutunlabeled
Learning the ropes
Ahmed Seffah
2003· article· en· interactions· Computer Science
machine prediction:candidate · noneconsensus · none
66
citations
affunlabeled
Usability through Software Design
Laura Carvajal, Ana M. Moreno, Marı́a-Isabel Sánchez-Segura, Ahmed Seffah
2013· article· en· IEEE Transactions on Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
64
citations
afffundunlabeled
Software and Culture
Gregory E. Kersten, Mik Kersten, Wojciech M. Rakowski
2002· article· en· Journal of Global Information Management· Computer Science
machine prediction:candidate · noneconsensus · none
53
citations
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How this was built: Screen · Findings · About