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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
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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 10 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.

affaboutunlabeled
Alisalia minuta Klimaszewski & Webster 2009, sp. n.
2009· article· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
distilled prediction:candidate · sts+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
afffundunlabeled
Boundary effects across filter spatial scales
Calden Wloka, Neil D. B. Bruce, John K. Tsotsos
2014· article· en· BMC Neuroscience· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Amara (Celia) aurata Dejean 1828
2025· article· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
distilled prediction:candidate · sts+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
FocalVid : Facilitating Remote Studies of Video Saliency
Sahand Shaghaghi, Bryan Tripp, Chrystopher L. Nehaniv, Alexander Mois Aroyo, Kerstin Dautenhahn
2020· article· en· Advances in Computer-Human Interaction· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Visual Search with selective tuning
Evgueni Simine, Antonio Rodrı́guez-Sánchez, John K. Tsotsos
2010· article· en· Journal of Vision· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
[no title]
Frédéric J.A.M. Poirier, F. Gosselin, Martin Arguin
2010· article· en· Journal of Vision· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractRetractiongemma · research_integritygpt · research_integritymodels agree
Retraction Note: IoT-based 3D convolution for video salient object detection
Shizhou Dong, Zhifan Gao, Sandeep Pirbhulal, Gui‐Bin Bian, Heye Zhang, Wanqing Wu +1 more
2024· article· en· Neural Computing and Applications· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Detecting, Representing and Attending to Visual Shape
Antonio Rodrı́guez-Sánchez, Gregory Dudek, John K. Tsotsos
2013· book-chapter· en· Advances in computer vision and pattern recognition· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
FUNNRAR: Hybrid rarity/learning visual saliency
Pierre Marighetto, I. Hadj Abdelkader, S. Duzelier, Marc Décombas, Nicolas Riche, Jérémie Jakubowicz +3 more
2016· article· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
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How this was built: Screen · Findings · About