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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 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 57 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.

affunlabeled
Comparing V1 between myopes and emmetropes.
Konogan Baranton, Trung Hieu Nguyen, Maki Yoshida, Guillaume Giraudet
2014· article· en· Journal of Vision· Neuroscience
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Reduced temporal fusion in near-hand space
Stephanie C. Goodhew, Davood G. Gozli, Susanne Ferber, Jay Pratt
2013· article· en· Journal of Vision· Neuroscience
machine prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
The art of the float
Emily A. Cooper, Roberto Casati, Hany Farid, Patrick Cavanagh
2023· article· en· Journal of Vision· Neuroscience
machine prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
Color Modulates Feature Integration
Harpreet K. Saini, Heather Jordan, Mazyar Fallah
2021· article· en· Frontiers in Psychology· Neuroscience
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Drawing accuracy measured using polygons
Linda Carson, Matthew Millard, Nadine Quehl, James Danckert
2013· article· en· Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE· Neuroscience
machine prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
On the dynamics of spatial updating
Jean Blouin, Jean-Philippe Pialasse, Laurence Mouchnino, Martin Simoneau
2021· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Neuroscience
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Psychophysics
Simon Grondin
2016· book-chapter· en· Neuroscience
machine prediction:candidate · noneconsensus · none
1
citations
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