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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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Action Observation and Synchronization
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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.

1,327 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.
1,327 works in the cohort · of 4,299,418page 2 of 27

Labels cover 3 of 1,327 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 1,327 of 1,327 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
Decoding intentions from movement kinematics
Andrea Cavallo, Atesh Koul, Caterina Ansuini, Francesca Capozzi, Cristina Becchio
2016· article· en· Scientific Reports· Psychology
machine prediction:candidate · noneconsensus · none
181
citations
affunlabeled
Moving Ourselves, Moving Others
Jordan Zlatev, Timothy P. Racine, Ulrike M. Lüdtke
2012· book· en· Consciousness & emotion book series· Psychology
machine prediction:candidate · noneconsensus · none
160
citations
afffundunlabeled
Body sway reflects leadership in joint music performance
Andrew Chang, Steven R. Livingstone, Dan Bosnyak, Laurel J. Trainor
2017· article· en· Proceedings of the National Academy of Sciences· Psychology
machine prediction:candidate · noneconsensus · none
159
citations
affunlabeled
What is modelled during observational learning?
Nicola J. Hodges, A. Mark Williams, Spencer J. Hayes, Gavin Breslin
2007· review· en· Journal of Sports Sciences· Psychology
machine prediction:candidate · noneconsensus · none
155
citations
afffundunlabeled
Dance and the brain: a review
Falisha J. Karpati, Chiara Giacosa, Nicholas E.V. Foster, Virginia B. Penhune, Krista L. Hyde
2015· review· en· Annals of the New York Academy of Sciences· Psychology
machine prediction:candidate · noneconsensus · none
134
citations
afffundunlabeled
Power changes how the brain responds to others.
Jeremy Hogeveen, Michael Inzlicht, Sukhvinder S. Obhi
2013· article· en· Journal of Experimental Psychology General· Psychology
machine prediction:candidate · noneconsensus · none
132
citations
affunlabeled
Tough and Tender
Michael L. Slepian, Max Weisbuch, Nicholas O. Rule, Nalini Ambady
2010· article· en· Psychological Science· Psychology
machine prediction:candidate · noneconsensus · none
117
citations
afffundunlabeled
Auditory plasticity and speech motor learning
Sazzad M. Nasir, David J. Ostry
2009· article· en· Proceedings of the National Academy of Sciences· Psychology
machine prediction:candidate · noneconsensus · none
102
citations

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