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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 24 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.

affunlabeled
Human activity recognition system
Akash Kumar, Varshini Shenoy, Puneet Tiwari
2021· article· en· International journal of advance research, ideas and innovations in technology· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Design of a mechatronic interface for human gait
Yves Dupuis, Jean-Luc Impagliazzo, Cédric Anthierens, Dominique Millet
2006· article· fr· Journal Européen des Systèmes Automatisés· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Call for Papers
2022· paratext· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Context Adaptable Application
2018· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Tamias ruficaudus
2016· article· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Context-Aware Hard and Slow Fall Detection
Sinda Besrour, Gael S. Mubibya, Zikuan Liu, Jalal Almhana
2023· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Enhancing Self-Reflection with Wearable Sensors Workshop
Genovefa Kefalidou, Vicky Shipp, James Pinchin, Alan Dix
2015· article· en· International Journal of Mobile Human Computer Interaction· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Preface
Elhadi Shakshuki, Yves Vanrompay
2025· article· en· Procedia Computer Science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Fall Risk Detection in Computer Vision
Yen-Hung Liu, Patrick C. K. Hung
2024· book-chapter· en· Encyclopedia of Computer Graphics and Games· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
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