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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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Archives of Physical Medicine and Rehabilitation
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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.

1,505 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.
1,505 works in the cohort · of 4,299,418page 21 of 31

Labels cover 6 of 1,505 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 1,505 of 1,505 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
The Authors Respond
Julia O. Totosy de Zepetnek, Chelsea Pelletier, Audrey Hicks, Maureen J. MacDonald
2016· letter· en· Archives of Physical Medicine and Rehabilitation· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Neurocognitive Test Performances in Chronic Pain Patients
Dinesh Kumbhare, William Parkinson, Yasir Rehman, Michel P. Rathbone, Sucui Jiang, Mohit Bhandari
2014· article· en· Archives of Physical Medicine and Rehabilitation· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Article 18: Women's Health Outcomes After Traumatic Brain Injury
Angela Colantonio, Wanna Mar, Karen Yoshida, Michael Escobar, Nora Cullen, Diana Velikona +3 more
2009· article· en· Archives of Physical Medicine and Rehabilitation· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
The authors respond
C Allyson Jones, David Feeny
2007· article· en· Archives of Physical Medicine and Rehabilitation· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Poster 28
Dinesh Kumbhare, Julie Conquer, John Barban, Alison Tannis, Lauren Brown, Jonathan D. Adachi
2003· article· en· Archives of Physical Medicine and Rehabilitation· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affno abstractunlabeled
Poster 96: Aging, Pantomime, and Manual Dexterity
Mark Gravely, Vassela Stamenova, Éric Roy, Sandra E. Black
2008· article· en· Archives of Physical Medicine and Rehabilitation· Psychology
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
The author replies
P. M. Rees
2004· article· en· Archives of Physical Medicine and Rehabilitation· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Brain Biomarkers in Pediatric Concussion: A Systematic Review
Julia Schmidt, Kathryn S. Hayward, Katlyn E. Brown, Jill G. Zwicker, Shelina Babul, Jennie Ponsford +2 more
2018· review· en· Archives of Physical Medicine and Rehabilitation· Medicine
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About