MétaCan
Menu
Back to cohort
Record W1868608992 · doi:10.1097/phm.0000000000000406

What Should Be the Role of Physiatrists in Early Acute Care Rehabilitation?

2015· article· en· W1868608992 on OpenAlexaffabout
Alan Tam, David Berbrayer, Lawrence R. Robinson

Bibliographic record

VenueAmerican Journal of Physical Medicine & Rehabilitation · 2015
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal Disorders and Rehabilitation
Canadian institutionsSunnybrook Health Science Centre
Fundersnot available
KeywordsRehabilitationHealth scienceMedicineBiomedical sciencesGerontologyCenter (category theory)Family medicineMedical educationPhysical therapyNursing

Abstract

fetched live from OpenAlex

From the Sunnybrook Health Sciences Center (AKHT, DB) and John and Sally Eaton Chair in Rehabilitation Science, Sunnybrook Health Sciences Centre (LRR), Division of Physical Medicine & Rehabilitation, University of Toronto, Toronto, Ontario, Canada. All correspondence and requests for reprints should be addressed to: Alan K.H. Tam, MD, Sunnybrook Health Sciences Center, St. John’s Rehab Campus, 285 Cummer Avenue, Rm S124, Toronto, ON, Canada M2M 2G1. Financial disclosure statements have been obtained, and no conflicts of interest have been reported by the authors or by any individuals in control of the content of this article.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.667
Threshold uncertainty score0.559

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.319
Teacher spread0.311 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations12
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueAmerican Journal of Physical Medicine & RehabilitationSame topicMusculoskeletal Disorders and RehabilitationFrench-language works237,207