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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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Human Pose and Action Recognition
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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.

684 results · 1 filter active ·
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20012025
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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.
684 works in the cohort · of 4,299,418page 2 of 14

Labels cover 1 of 684 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 684 of 684 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
Estimating contact dynamics
Marcus A. Brubaker, Leonid Sigal, David J. Fleet
2009· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
109
citations
afffundunlabeled
MoVi: A large multi-purpose human motion and video dataset
Saeed Ghorbani, Kimia Mahdaviani, Anne Thaler, Konrad P. Körding, Douglas J. Cook, Gunnar Blohm +1 more
2021· article· en· PLoS ONE· Computer Science
machine prediction:candidate · noneconsensus · none
108
citations
afffundunlabeled
Language-driven synthesis of 3D scenes from scene databases
Rui Ma, Akshay Gadi Patil, Matthew Fisher, Manyi Li, Sören Pirk, Binh‐Son Hua +4 more
2018· article· en· ACM Transactions on Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
98
citations
afffundaboutunlabeled
Vision-Based Fall Detection Using ST-GCN
Oussema Keskes, Rita Noumeir
2021· article· en· IEEE Access· Computer Science
machine prediction:candidate · noneconsensus · none
90
citations
affunlabeled
AMASS: Archive of Motion Capture As Surface Shapes
Naureen Mahmood, Nima Ghorbani, Nikolaus F. Troje, Gerard Pons‐Moll, Michael J. Black
2019· preprint· en· Computer Science
machine prediction:candidate · noneconsensus · none
72
citations
affunlabeled
Action-driven 3D indoor scene evolution
Rui Ma, Honghua Li, Changqing Zou, Zicheng Liao, Xin Tong, Hao Zhang
2016· article· en· ACM Transactions on Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
63
citations
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