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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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Face recognition and analysis
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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
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

596 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
596 works in the cohort · of 4,299,418page 8 of 12

Labels cover 2 of 596 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 596 of 596 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Adaptive Appearance Rendering
Mengyao Zhai, Ruizhi Deng, Jiacheng Chen, Lei Chen, Zhiwei Deng, Greg Mori
2021· article· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Fused Geometry Augmented Images for Analyzing Textured Mesh
Bilal Taha, Munawar Hayat, Stefano Berretti, Naoufel Werghi
2020· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affunlabeled
Perceptual distance normalization for appearance detection
C. Chennubhotla, A. Jepson
2004· article· en· Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Model Based Blobal Image Registration.
Niloofar Gheissari, Parisa Mirshams, Zohreh Sharafi
2008· article· en· International Conference on Computer Vision Theory and Applications· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
glsp-extensions/bigGLSP-framework: SoSyM 24
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
affaboutunlabeled
RAVDESS Facial Landmark Tracking
Riley Swanson, Steven R. Livingstone, Frank Russo
2019· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
distilled prediction:candidate · sts+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
fundno affunlabeled
Front Matter
2017· paratext· en· Computer Graphics Forum· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Occurrence Download
2024· dataset· en· Global Biodiversity Information Facility· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Colposcopic image registration using opponentSIFT descriptor
Othmane El Meslouhi, Hakim Allali, Taoufiq Gadi, Yassir Ait Benkaddour, Mustapha Kardouchi
2012· article· fr· Revue Méditerranéenne des Télécommunications· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About