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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 2 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.

afffundno abstractunlabeled
Binocular vision
Randolph Blake, Hugh R. Wilson
2010· review· en· Vision Research· Neuroscience
machine prediction:candidate · noneconsensus · none
241
citations
fundno affunlabeled
Prioritized Maps of Space in Human Frontoparietal Cortex
Trenton A. Jerde, Elisha P. Merriam, Adam C. Riggall, James H. Hedges, Clayton E. Curtis
2012· article· en· Journal of Neuroscience· Neuroscience
machine prediction:candidate · noneconsensus · none
235
citations
affunlabeled
Color in Complex Scenes
Steven K. Shevell, Frederick A. A. Kingdom
2007· review· en· Annual Review of Psychology· Neuroscience
machine prediction:candidate · noneconsensus · none
224
citations
afffundunlabeled
The Role of Suppression in Amblyopia
Jingrong Li, Benjamin Thompson, Carly Siu Yin Lam, Daming Deng, Lily Y. L. Chan, Goro Maehara +3 more
2011· article· en· Investigative Ophthalmology & Visual Science· Neuroscience
machine prediction:candidate · noneconsensus · none
206
citations
affunlabeled
Classification images: A review
Richard Murray
2011· review· en· Journal of Vision· Neuroscience
machine prediction:candidate · noneconsensus · none
200
citations
affunlabeled
Orienting of Attention
Richard D. Wright, Lawrence M. Ward
2008· book· en· Neuroscience
machine prediction:candidate · noneconsensus · none
200
citations
affunlabeled
Visual Sensing Without Seeing
Ronald A. Rensink
2004· article· en· Psychological Science· Neuroscience
machine prediction:candidate · noneconsensus · none
184
citations
affunlabeled
Visual perception and aging.
Jocelyn Faubert
2002· article· en· Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale· Neuroscience
machine prediction:candidate · noneconsensus · none
178
citations
affno abstractunlabeled
Visual cortex maps are optimized for uniform coverage
Nicholas V. Swindale, Doron Shoham, Amiram Grinvald, Tobias Bonhoeffer, Mark Hübener
2000· article· en· Nature Neuroscience· Neuroscience
machine prediction:candidate · noneconsensus · none
171
citations
fundno affunlabeled
Multidimensional visual statistical learning.
Nicholas B. Turk‐Browne, Phillip Isola, Brian J. Scholl, Teresa A. Treat
2008· article· en· Journal of Experimental Psychology Learning Memory and Cognition· Neuroscience
machine prediction:candidate · noneconsensus · none
168
citations
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