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Record W3136287573 · doi:10.1080/24740527.2021.1905508

Exploring physiotherapy practice within hospital-based interprofessional chronic pain clinics in Ontario

2021· article· en· W3136287573 on OpenAlexafffundabout
Linnea Thacker, Robert M. Walsh, Gabriella Shinyoung Song, Hammad A. Khan, Prem Parmar, Kaitlin T. Vance, Gillian Grant, Giulia Mesaroli, Judith Hunter, Kyle Vader

Bibliographic record

VenueCanadian Journal of Pain · 2021
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsQueen's UniversityKingston Health Sciences CentreHospital for Sick ChildrenWomen's College HospitalUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsThematic analysisMedicineChronic painQualitative researchPhysical therapyHealth careNursingPublic hospitalFamily medicine

Abstract

fetched live from OpenAlex

: Our results illuminate how physiotherapy practice within HICPCs in Ontario focuses on providing a collaborative and whole-person approach to care, with an emphasis on supporting patients to increase their functional capacity by promoting engagement in active chronic pain management strategies.

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)0.007
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.533
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.041
GPT teacher head0.315
Teacher spread0.274 · 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 designObservational
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

Citations6
Published2021
Admission routes3
Has abstractyes

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