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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 5 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
The UI design process
Paul McInerney, Rick Sobiesiak
2000· article· en· ACM SIGCHI Bulletin· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
Universal usability revisited
Mary Zajicek, Alistair D. N. Edwards
2004· article· en· Interacting with Computers· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Task Model Simulation Using Interaction Templates
David Paquette, Kevin A. Schneider
2006· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
APDT: An Agile Planning Tool for Digital Tabletops
Sebastian Weber, Yaser Ghanam, Xin Wang, Frank Maurer
2008· book-chapter· en· Lecture notes in business information processing· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
The business value of HCI
Gitte Lindgaard, Nicola Millard
2002· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
afffundunlabeled
FCVW
Ivan Tomek, Elhadi Shakshuki
2009· article· en· International Journal of Mobile Computing and Multimedia Communications· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
4
citations
affunlabeled
HCI in China
Feng Tian, Xiangshi Ren, Xiangmin Fan, Wei Li, Haipeng Mi, Tun Lu +2 more
2019· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
How people use orientation on tables
Russell Kruger, Sheelagh Carpendale, Stacey D. Scott, Saul Greenberg
2003· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
The design of effective online help in Web applications
Marie Christine Roy, Yves Rannou, Lucie Rivard
2006· article· en· Universiti Utara Malaysia Institutional Repository (Universiti Utara Malaysia)· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Hypermedia — from the past to the future
Ivan Tomek, Hermann Maurer
2006· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
A Lisibility Assessment for Mobile Phones
Francisco V. Cipolla-Ficarra, Jacqueline Alma, Jim Carré
2017· book-chapter· en· Advances in human and social aspects of technology book series· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Deployment Study Length
Khai N. Truong, Julie A. Kientz, Nilanjan Banerjee, A. J. Bernheim Brush, Ratul Mahajan
2015· article· en· GetMobile Mobile Computing and Communications· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Examining Table Variations on Small Screen Devices
Rui Zhang, C. Watters, J. Duffy
2005· article· en· IEEE/WIC/ACM International Conference on Web Intelligence (WI'04)· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Towards a Formal Semantics for AspectJ Weaving
Nadia Belblidia, Mourad Debbabi
2006· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
International usability evaluation SIG
Emilie W. Gould, Aaron Marcus, Apala Lahiri Chavan
2006· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Effective Communication
Niyousha Raeesinejad, Yousef Mehrdad Bibalan, Mohammad Moshirpour
2023· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
How people use softcopy manuals: a case study
David G. Hendry, Blair Nonnecke, Tom Carey, John O. Mitterer, Rick Sobiesiak, D. Lungu
2002· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
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