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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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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 1 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
Mobility Detection Using Everyday GSM Traces
Timothy Sohn, Alex Varshavsky, Anthony LaMarca, Mike Y. Chen, Tanzeem Choudhury, Ian Smith +4 more
2006· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
277
citations
fundno affno abstractunlabeled
Exploring the ambient assisted living domain: a systematic review
Davide Calvaresi, Daniel Cesarini, Paolo Sernani, Mauro Marinoni, Aldo Franco Dragoni, Arnon Sturm
2016· review· en· Journal of Ambient Intelligence and Humanized Computing· Computer Science
machine prediction:candidate · noneconsensus · none
275
citations
afffundunlabeled
The proximity toolkit
Nicolai Marquardt, Robert Diaz-Marino, Sebastian Boring, Saul Greenberg
2011· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
273
citations
affunlabeled
Embedded Data Representations
Wesley Willett, Yvonne Jansen, Pierre Dragicevic
2016· article· en· IEEE Transactions on Visualization and Computer Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
252
citations
affno abstractunlabeled
Publishing and discovering context-dependent services
Naseem Ibrahim, Mubarak Mohammad, Vangalur Alagar
2013· article· en· Human-centric Computing and Information Sciences· Computer Science
machine prediction:candidate · noneconsensus · none
115
citations
affunlabeled
IoT mashups with the WoTKit
Michael Blackstock, Rodger Lea
2012· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
100
citations

How this was built: Screen · Findings · About