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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 Perception
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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.

1,961 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.
1,961 works in the cohort · of 4,299,418page 16 of 40

Labels cover 2 of 1,961 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 1,961 of 1,961 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundno abstractunlabeled
Recognizing faces defined by texture gradients
Chang Hong Liu, Charles A. Collin, Reza Farivar, Avi Chaudhuri
2005· article· en· Perception & Psychophysics· Neuroscience
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
20
citations
afffundunlabeled
The role of spatial frequency in expert object recognition.
Simen Hagen, Quoc C. Vuong, Lisa S. Scott, Tim Curran, James W. Tanaka
2015· article· en· Journal of Experimental Psychology Human Perception & Performance· Neuroscience
distilled prediction:candidate · noneconsensus · none
20
citations
affunlabeled
How Realistic Should Avatars Be?
Thomas W. James, Robert F. Potter, Sungkyoung Lee, Sunah Kim, Ryan A. Stevenson, Annie Lang
2015· article· en· Journal of Media Psychology Theories Methods and Applications· Neuroscience
distilled prediction:candidate · noneconsensus · none
20
citations
afffundaboutunlabeled
Culture Shapes Efficiency of Facial Age Judgments
Gizelle Anzures, Liezhong Ge, Zhe Wang, Shoji Itakura, Kang Lee
2010· article· en· PLoS ONE· Neuroscience
distilled prediction:candidate · insufficient_payloadconsensus · none
20
citations
affno abstractunlabeled
Face processing in adolescents with and without epilepsy
Margot J. Taylor, Travis Mills, Mary Lou Smith, Elizabeth W. Pang
2008· article· en· International Journal of Psychophysiology· Neuroscience
distilled prediction:candidate · noneconsensus · none
19
citations
affunlabeled
Emotion-specific modulation of early visual perception
Jeffrey R. Nicol, Steven Perrotta, Sabina Caliciuri, Mark P. Wachowiak
2013· article· en· Cognition & Emotion· Neuroscience
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
19
citations
affunlabeled
The Expertise of Perception
James W. Tanaka, Victoria Philibert
2022· book· en· Cambridge University Press eBooks· Neuroscience
distilled prediction:candidate · noneconsensus · none
19
citations
affunlabeled
What determines whether faces are special?
Chang Hong Liu, Avi Chaudhuri
2003· article· en· Visual Cognition· Neuroscience
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
19
citations

How this was built: Screen · Findings · About