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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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Cognitive Computing and Networks
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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.

400 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.
400 works in the cohort · of 4,299,418page 3 of 8

Labels cover 0 of 400 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 400 of 400 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
Specification of the RTPA grammar and its recognition
Xinming Tan, Yingxu Wang, Cyprian F. Ngolah
2004· article· en· IEEE International Conference on Cognitive Informatics· Computer Science
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
Cognitive Informatics
Yingxu Wang
2008· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
The Formal Design Models of a Set of Abstract Data Types (ADTs)
Yingxu Wang, Xinming Tan, Cyprian F. Ngolah, Phillip C.‐Y. Sheu
2010· article· en· International Journal of Software Science and Computational Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Perspectives on Cognitive Computing and Applications
Yingxu Wang, Witold Pedrycz, George Baciu, Ping Chen, Guoyin Wang, Yiyu Yao
2010· article· en· International Journal of Software Science and Computational Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
On Visual Semantic Algebra (VSA)
Yingxu Wang
2012· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Problems of Human-Computer Interaction in Cyberworlds
Alexei Sourin, Rae Earnshaw, Marina L. Gavrilova, Olga Sourina
2016· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
The Formal Design Model of a File Management System (FMS)
Yingxu Wang, Cyprian F. Ngolah, Xinming Tan, Yousheng Tian, Phillip C.‐Y. Sheu
2011· article· en· International Journal of Software Science and Computational Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
On Interactive Data Mining
Yan Zhao
2009· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
affvenueunlabeled
CHALLENGES IN ENGINEERING EDUCATION OF COGNITIVE DYNAMIC SYSTEMS
Witold Kinsner, S. Haykin, Yingxu Wang, Witold Pedrycz, Ivo Bukovský, Bernard Widrow +3 more
2012· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations

How this was built: Screen · Findings · About