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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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Context-Aware Activity Recognition Systems
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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.

1,215 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,215 works in the cohort · of 4,299,418page 17 of 25

Labels cover 1 of 1,215 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 1,215 of 1,215 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.

affno abstractunlabeled
ZOGIM-A (Alertness Questionnaire)
Azmeh Shahid, Kate Wilkinson, Shai Marcu, Colin M. Shapiro
2011· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
CAMPUS
Hossein Rahnama, S. Jamshidi, Stephen Johns, Alan Shepard
2011· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Maintaining good relationships in clinical setting
Kévin Bouchard, Sylvain Giroux, Robert Radziszewski, Mathieu Gagnon, Quentin Szymanski, Stéphanie Pinard +2 more
2015· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Context-based Project Management
Ammar Alsaig, Alaa Alsaig, Mubarak Mohammad
2017· article· en· EAI Endorsed Transactions on Context-aware Systems and Applications· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Smart Senior Residences
Bruno Bouchard, Kévin Bouchard, Sébastien Gaboury, Abdenour Bouzouane
2017· book-chapter· en· Advances in healthcare information systems and administration book series· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Dynamic user-centric mobile context model
Yu‐Ling Chang, Eduardo S. Barrenechea, Paulo Alencar
2010· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Erratum to: Context-Aware Systems and Applications
Phan Công Vinh, Vangalur Alagar, Emil Vassev, Ashish Khare
2014· erratum· en· Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Sidewinder
Daniyal Liaqat, Silviu Jingoi, Eyal de Lara, Ashvin Goel, Wilson To, Kevin Lee +2 more
2016· article· en· ACM SIGPLAN Notices· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
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How this was built: Screen · Findings · About