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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 5 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
Multiple-Object Tracking Is Based on Scene, Not Retinal, Coordinates.
Geniva Liu, Erin L. Austen, Kellogg S. Booth, Brian Fisher, Ritchie Argue, Mark I. Rempel +1 more
2005· article· en· Journal of Experimental Psychology Human Perception & Performance· Neuroscience
machine prediction:candidate · noneconsensus · none
104
citations
afffundunlabeled
How many locations can be selected at once?
Steven Franconeri, George A. Alvarez, James T. Enns
2007· article· en· Journal of Experimental Psychology Human Perception & Performance· Neuroscience
machine prediction:candidate · noneconsensus · none
104
citations
afffundno abstractunlabeled
Evidence against a speed limit in multiple-object tracking
Steven Franconeri, Jianzhe Lin, James T. Enns, Zenon W. Pylyshyn, Brian Fisher
2008· article· en· Psychonomic Bulletin & Review· Neuroscience
machine prediction:candidate · noneconsensus · none
101
citations
affno abstractunlabeled
Vision and Attention
Laurence R. Harris, Michael Jenkin
2001· book-chapter· en· Neuroscience
machine prediction:candidate · noneconsensus · none
99
citations
affunlabeled
Learning to represent visual input
Geoffrey E. Hinton
2009· review· en· Philosophical Transactions of the Royal Society B Biological Sciences· Neuroscience
machine prediction:candidate · noneconsensus · none
91
citations
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How this was built: Screen · Findings · About