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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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Visual perception and processing mechanisms
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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.

3,914 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.
3,914 works in the cohort · of 4,299,418page 33 of 79

Labels cover 2 of 3,914 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 3,914 of 3,914 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Color in the Cortex
E. N. Johnson, Kathy T. Mullen
2016· book-chapter· en· Neuroscience
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Flicker is a primitive visual attribute in visual search.
Thomas M. Spalek, Jun‐ichiro Kawahara, Vincent Di Lollo
2009· article· en· Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale· Neuroscience
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Attention is biased to near surfaces
Greg L. West, Jay Pratt, Mary A. Peterson
2013· article· en· Psychonomic Bulletin & Review· Neuroscience
machine prediction:candidate · noneconsensus · none
13
citations
afffundunlabeled
The effects of shape crowding on grasping
J. Chen, S. Jayawardena, Melvyn A. Goodale
2015· article· en· Journal of Vision· Neuroscience
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Black and White and Colour
Kathleen Akins
2013· book-chapter· en· Neuroscience
machine prediction:candidate · noneconsensus · none
13
citations
afffundno abstractunlabeled
Flash lag in depth
Laurence R. Harris, Philip A. Duke, Agnieszka Kopinska
2006· article· en· Vision Research· Neuroscience
machine prediction:candidate · noneconsensus · none
13
citations
fundno affunlabeled
Retinotopic organization of visual cortex in human infants
Cameron T. Ellis, Tristan S. Yates, Lena J. Skalaban, Vikranth R. Bejjanki, Michael J. Arcaro, Nicholas B. Turk‐Browne
2020· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Neuroscience
machine prediction:candidate · noneconsensus · none
13
citations
afffundno abstractunlabeled
Border distinctness in amblyopia
Robert F. Hess, Jonathan S. Pointer, Anita J. Simmers, Peter J. Bex
2003· article· en· Vision Research· Neuroscience
machine prediction:candidate · noneconsensus · none
12
citations

How this was built: Screen · Findings · About