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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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Tactile and Sensory Interactions
Retraction
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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.

1,524 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.
1,524 works in the cohort · of 4,299,418page 27 of 31

Labels cover 1 of 1,524 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 1,524 of 1,524 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
Pause time alters the preparation of two-component movements
Michael C. Bajema, Colum D. MacKinnon, Michael J Carter, Michael Kennefick, Sam Perlmutter, Anthony N. Carlsen
2013· article· en· Experimental Brain Research· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Interacting with a Visuotactile Countertop
Michael Jenkin, Francois R. Hogan, Kaleem Siddiqi, JEAN-FRANÇOIS TREMBLAY, Bobak H. Baghi, Gregory Dudek
2024· book-chapter· en· Communications in computer and information science· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Guided by touch: Tactile Cues in Hand Movement Control
Maria Evangelia Vlachou, Juliette Legros, Cécile Sellin, Dany Paleressompoulle, Francesco Massi, Martin Simoneau +2 more
2024· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Can't use sight? Don't go right!
K. Stone, C. Gonzalez
2014· article· en· Journal of Vision· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Tactile Texture☆
C. Elaine Chapman, Allan M. Smith
2017· book-chapter· en· Elsevier eBooks· Neuroscience
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundunlabeled
Modeling of lower limbs for vibrotactile compensation
Martin J.-D. Otis, Guillaume Y. Millet, Stephane Beniak, Jeremy R. Cooperstock
2011· article· en· Constellation (Université du Québec à Chicoutimi)· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Single-shot detection of microscale tactile features
Sasha Reschechtko, Wylianne R. Pangan, Reza Zeinal Zadeh, J. Andrew Pruszynski
2024· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Braille
Shawndra White
2013· article· en· ti<· Neuroscience
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About