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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 and Expression 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.

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.

895 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.
895 works in the cohort · of 4,299,418page 9 of 18

Labels cover 0 of 895 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 895 of 895 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Separable Linear Discriminant Classification
Christian Bauckhage, John K. Tsotsos
2005· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
6
citations
affno abstractunlabeled
Perfect histogram matching PCA for face recognition
Ana-Maria Sevcenco, Wu-Sheng Lu
2010· article· en· Multidimensional Systems and Signal Processing· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
affunlabeled
A Novel Kernelized Face Recognition System
Arbia Soula, Salma Ben Saïd, Riadh Ksantini, Zied Lachiri
2016· article· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
5
citations
affunlabeled
Fuzzy measures for vehicle detection
Zhi-Qiang Liu, Xiaobo Li, Ka-Ming Leung
2005· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Unified embedding and clustering
Mebarka Allaoui, Mohammed Lamine Kherfi, Abdelhakim Cheriet, Abdelhamid Bouchachia
2023· article· en· Expert Systems with Applications· Computer Science
distilled prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Applying fusion in thermal face recognition
Jan Váňa, Štěpán Mráček, Martin Drahanský, Ahmad Poursaberi, Svetlana Yanushkevich
2012· article· en· International Conference on Biometrics· Computer Science
distilled prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Pattern Recognition
José Fco. Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, J. Arturo Olvera-López, Joaquín Salas, Ching Y. Suen
2014· book· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
5
citations
affunlabeled
Sorted Kernel Matrices as Cluster Validity Indexes.
Francisco Alberto de Andrade Queiroz, Antônio P. Braga, Witold Pedrycz
2009· article· en· European Society for Fuzzy Logic and Technology Conference· Computer Science
distilled prediction:candidate · noneconsensus · none
5
citations

How this was built: Screen · Findings · About