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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 6 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
Aging, gender, and spinal cord injury
Mary Ann McColl, Susan Charlifue, Clive Glass, Nancy Lawson, Gordana Savić
2004· article· en· Archives of Physical Medicine and Rehabilitation· Medicine
machine prediction:candidate · noneconsensus · none
77
citations
affno abstractunlabeled
State of the art in geriatric rehabilitation. Part II: Clinical challenges11No commercial party having a direct financial interest in the results of the research supporting this article has or will confer a benefit upon the authors or upon any organization with which the authors are associated.
Jennie Wells, Jamie A. Seabrook, Paul Stolee, Michael Borrie, Frank Knoefel
2003· review· en· Archives of Physical Medicine and Rehabilitation· Medicine
machine prediction:candidate · noneconsensus · none
75
citations
affno abstractunlabeled
Work Productivity Loss After Mild Traumatic Brain Injury
Noah D. Silverberg, William J. Panenka, Grant L. Iverson
2017· article· en· Archives of Physical Medicine and Rehabilitation· Medicine
machine prediction:candidate · noneconsensus · none
72
citations
affno abstractunlabeled
When Is Virtual Reality “Therapy”?
Danielle Levac, Jane Galvin
2012· article· en· Archives of Physical Medicine and Rehabilitation· Medicine
machine prediction:candidate · noneconsensus · none
72
citations
affno abstractunlabeled
Measuring quality of life in multiple sclerosis patients with urinary disorders using the qualiveen questionnaire11No commercial party having a direct financial interest in the results of the research supporting this article has or will confer a benefit on the author(s) or on any organization with which the author(s) is/are associated.
V. Bonniaud, B. Parratte, G. Amarenco, Dianne Jackowski, Jean-Pierre Didier, Gordon Guyatt
2004· article· en· Archives of Physical Medicine and Rehabilitation· Medicine
machine prediction:candidate · noneconsensus · none
71
citations
affno abstractunlabeled
Changes in spiritual beliefs after traumatic disability
Mary Ann McColl, Jerome Bickenbach, Jane Johnston, Sharon Nishihama, Millard Schumaker, Karen Smith +2 more
2000· article· en· Archives of Physical Medicine and Rehabilitation· Social Sciences
machine prediction:candidate · noneconsensus · none
68
citations

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