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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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Muscle activation and electromyography studies
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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.

3,432 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.
3,432 works in the cohort · of 4,299,418page 1 of 69

Labels cover 5 of 3,432 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 3,432 of 3,432 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.

afffundunlabeled
Upper limb prosthesis use and abandonment
Elaine Biddiss, Tom Chau
2007· review· en· Prosthetics and Orthotics International· Engineering
machine prediction:candidate · noneconsensus · none
1,091
citations
affno abstractunlabeled
Neural Adaptations to Resistive Exercise
David A. Gabriel, Gary Kamen, Gail Frost
2006· review· en· Sports Medicine· Engineering
machine prediction:candidate · noneconsensus · none
785
citations
affunlabeled
Role of Cocontraction in Arm Movement Accuracy
Paul L. Gribble, Lucy I. Mullin, Nicholas Cothros, Andrew A. G. Mattar
2003· article· en· Journal of Neurophysiology· Engineering
machine prediction:candidate · noneconsensus · none
664
citations
affno abstractunlabeled
Post-Activation Potentiation
Matt Hodgson, David Docherty, Daniel Robbins
2005· review· en· Sports Medicine· Engineering
machine prediction:candidate · noneconsensus · none
543
citations
affunlabeled
Sex Differences in Human Skeletal Muscle Fatigue
Audrey L. Hicks, Jane A. Kent‐Braun, David S. Ditor
2001· review· en· Exercise and Sport Sciences Reviews· Engineering
machine prediction:candidate · noneconsensus · none
396
citations
affunlabeled
Fuzzy EMG classification for prosthesis control
F.H.Y. Chan, Yongsheng Yang, F.K. Lam, Yuan‐Ting Zhang, P.A. Parker
2000· article· en· IEEE Transactions on Rehabilitation Engineering· Engineering
machine prediction:candidate · noneconsensus · none
376
citations
afffundunlabeled
Functional Electrical Stimulation
Cheryl L. Lynch, Miloš R. Popović
2008· article· en· IEEE Control Systems· Engineering
machine prediction:candidate · noneconsensus · none
333
citations

How this was built: Screen · Findings · About