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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.

affaffiliation
fundfunder
venuejournal
aboutaboutness

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 26 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.

affno abstractunlabeled
End-to-End Semantically Aware Tactile Generation
Mohammad Dastjerdi, Abbas Akkasi, Hilaire Djani, Majid Komeili
2024· preprint· en· SSRN Electronic Journal· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Do the hands shift the eyes?
Mazyar Fallah, J. Krayz, Heather Jordan
2010· article· en· Journal of Vision· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Braille Vision
Nick Cowan-Nagora
2013· article· en· ti<· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Lessons Learned from the TRANSED 2007 Conference
Verónica Gil
2007· article· en· 23RD PIARC WORLD ROAD CONGRESS PARIS, 17-21 SEPTEMBER 2007· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
I Brake for Blind People
Kevin Greene
2013· article· en· ti<· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Ideas take shape
Hilary White
2019· article· en· Practical Pre-School· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Using your neck muscles to reach for a target
Maria I Alekhina, Gerome A. Manson, Connor Reid, Luc Tremblay
2011· article· en· Journal of Exercise, Movement, and Sport· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Visual Accessibility in Computer Games
Stevie C. F. Sansalone, Claire M. Culver, Mahadeo A. Sukhai
2024· book-chapter· en· Encyclopedia of Computer Graphics and Games· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
A Tribute To Her Majesty Queen Victoria
cynex
2022· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
A Tribute To Her Majesty Queen Victoria
cynex
2022· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Touch
Dana R. Murphy
2021· book-chapter· en· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
The Lens (product review)
2025· article· en· Journal of the Canadian Health Libraries Association / Journal de l Association de bilbiothèques de la santé du Canada· Neuroscience
machine prediction:candidate · scholarly_communicationconsensus · none
0
citations

How this was built: Screen · Findings · About