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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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Visual Attention and Saliency Detection
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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
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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.

509 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.
509 works in the cohort · of 4,299,418page 4 of 11

Labels cover 1 of 509 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 509 of 509 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Image Aesthetics Assessment Using Graph Attention Network
Koustav Ghosal, Aljoša Smolić
2022· article· en· 2022 26th International Conference on Pattern Recognition (ICPR)· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
14
citations
affunlabeled
Characterizing a snapshot of perceptual experience.
Michael A. Cohen, Caroline Ostrand, Nicole Frontero, Phuong-Nghi Pham
2021· article· en· Journal of Experimental Psychology General· Computer Science
distilled prediction:candidate · noneconsensus · none
13
citations
fundno affunlabeled
Statistical templates for visual search
Jörg Ackermann, Michael S. Landy
2014· article· en· Journal of Vision· Computer Science
distilled prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
Computational models of visual attention
John K. Tsotsos, Miguel P. Eckstein, Michael S. Landy
2015· editorial· en· Vision Research· Computer Science
distilled prediction:candidate · noneconsensus · none
11
citations
aboutno affunlabeled
Predicting visual attention using gamma kernels
Ryan Burt, Eder Santana, José C. Prı́ncipe, Nina Thigpen, Andreas Keil
2016· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
10
citations
affunlabeled
EnviroPulse
Deltcho Valtchanov, Mark Hancock
2015· article· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
9
citations
affno abstractunlabeled
Multi-object Convexity Shape Prior for Segmentation
Lena Gorelick, Olga Veksler
2018· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
8
citations
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