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Record W4200032830 · doi:10.1016/j.apmr.2021.12.005

Feasibility of Concussion Rehabilitation Approaches Tailored to Psychological Coping Styles: A Randomized Controlled Trial

2021· article· en· W4200032830 on OpenAlexafffund
Noah D. Silverberg, Molly Cairncross, Penelope M. A. Brasher, Ana‐Maria Vranceanu, Deborah L. Snell, Keith Owen Yeates, William J. Panenka, Grant L. Iverson, Chantel T. Debert, Mark Bayley, Cindy Hunt, Andrew Baker, Matthew J. Burke

Bibliographic record

VenueArchives of Physical Medicine and Rehabilitation · 2021
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsUniversity of TorontoSunnybrook Health Science CentreSt. Michael's HospitalAlberta Children's HospitalToronto Rehabilitation InstituteHealth Sciences CentreUniversity Health NetworkBC Mental Health & Substance Use ServicesSpinal Cord Injury BCPublic Health OntarioBritish Columbia Centre on Substance UseHotchkiss Brain InstituteVancouver Coastal HealthVancouver Coastal Health Research InstituteUniversity of British ColumbiaUniversity of Calgary
FundersCanadian Institutes of Health ResearchAlberta Children's Hospital FoundationMichael Smith Health Research BCNFL FoundationNational Football League Players AssociationSpaulding Research Institute
KeywordsRandomized controlled trialPhysical therapyMedicinePsychological interventionCoping (psychology)RehabilitationAvoidance copingConcussionMindfulnessClinical psychologyPoison controlInjury preventionPsychiatry

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)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0070.004
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0130.002

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 head0.086
GPT teacher head0.397
Teacher spread0.312 · 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 designRandomized trial
Domainnot available
GenreEmpirical

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

Citations41
Published2021
Admission routes2
Has abstractno

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