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Record W3187844979 · doi:10.1038/s41393-021-00685-7

Implementation of the spinal cord injury exercise guidelines in the hospital and community settings: Protocol for a type II hybrid trial

2021· article· en· W3187844979 on OpenAlexafffund
K. Jasmin, Kristen Walden, Christopher B. McBride, Catherine Le Cornu Levett, Regina Colistro, Tova Plashkes, Teri Thorson, Hattie Shu, Kathleen A. Martin Ginis

Bibliographic record

VenueSpinal Cord · 2021
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsUniversity of British Columbia, Okanagan CampusGF Strong Rehabilitation CentreSpinal Cord Injury BCPraxis Spinal Cord InstituteArthritis Research Centre of CanadaInternational Collaboration On Repair DiscoveriesUniversity of British ColumbiaResearch CanadaUniversity of British Columbia Hospital
FundersMichael Smith Health Research BCArthritis Society
KeywordsMedicineSpinal cord injuryProtocol (science)Physical therapySpinal cordParaplegiaPhysical medicine and rehabilitationRandomized controlled trialSurgeryAlternative medicinePathologyPsychiatry

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.031
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.074
Threshold uncertainty score0.246

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.032
Meta-epidemiology (narrow)0.0050.004
Meta-epidemiology (broad)0.0060.005
Bibliometrics0.0020.003
Science and technology studies0.0040.004
Scholarly communication0.0050.004
Open science0.0030.003
Research integrity0.0080.010
Insufficient payload (model declined to judge)0.0740.013

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.605
GPT teacher head0.702
Teacher spread0.097 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations13
Published2021
Admission routes2
Has abstractno

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