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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.

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.

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 10 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 teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Context-Aware Systems and Applications
2014· book· en· Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Real-World Ubicomp Deployments: Lessons Learned
Armando Fox, Nigel Davies, Eyal de Lara, Mirjana Spasojevic, William G. Griswold
2006· article· en· IEEE Pervasive Computing· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
8
citations
affno abstractunlabeled
Towards a Context-Aware Knowledge Model for Smart Service Systems
Thang Le Dinh, Thanh Thoa Pham Thi, Cuong Pham-Nguyen, Le Nguyen Hoai Nam
2020· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
7
citations
affunlabeled
The smart condo
Veselin Ganev, Dave Chodos, Ioanis Nikolaidis, Eleni Stroulia
2011· article· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
7
citations
affunlabeled
A Smart Range Helping Cognitively-Impaired Persons Cooking
Bruno Bouchard, Kévin Bouchard, Abdenour Bouzouane
2014· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
7
citations
affunlabeled
The Smart Condo Project
Nicholas M. Boers, David Chodos, Paweł Gburzyński, Lisa M. Guirguis, Huang Jianzhao, Robert Lederer +4 more
2011· book-chapter· en· Advances in medical technologies and clinical practice book series· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+sts+research_integrityconsensus · none
7
citations
affunlabeled
Proxemics in Human-Computer Interaction (Dagstuhl Seminar 13452)
Saul Greenberg, Kasper Honbaek, Aaron Quigley, Harald Reiterer, Roman Rädle
2014· article· en· DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
7
citations
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How this was built: Screen · Findings · About