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Record W4255260912 · doi:10.1097/pep.0000000000000274

Letter to the Editor

2016· letter· en· W4255260912 on OpenAlexaboutno aff
Luc J. Hébert, Désirée B. Maltais

Bibliographic record

VenuePediatric Physical Therapy · 2016
Typeletter
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsIsometric exerciseProtocol (science)Muscle strengthContext (archaeology)Physical medicine and rehabilitationComputer sciencePoint (geometry)MedicineClinical PracticePhysical therapyPsychologyAlternative medicinePathologyMathematics

Abstract

fetched live from OpenAlex

Dear Editor: We read with interest the commentary on our article “Hand-Held Dynamometry Isometric Torque Reference Values for Children and Adolescents.”1 provided by Drs Masaracchia and Comet.2 They make a good point regarding how our reference values might be used. We would suggest, however, that muscle strength is not unique in being “only one piece of the puzzle.” Modern clinical reasoning theory in physical therapy suggests that outcome measure data in general should be treated as such.3 That is, context and various sources of information about the client or patient are required for meaningful clinical decision making. As well, although we agree with the suggestion of Drs Masaracchia and Comet that clinicians use a standardized protocol for muscle strength testing, we would also like to point out that our study did not “develop a mechanism for objectively measuring muscle strength in children” as stated by the authors. The validation of the measurement protocol was part of a previous study.4 Our main objective for the present study was to “establish hand-held dynamometry maximal isometric muscle torque reference values for children and adolescents who are developing typically.”1 We would also like to add that the optimal use of the reference values published in our recent study1 implies that the clinician has had sufficient training and practice to apply the protocol correctly and consistently. This training should be seen as an integral component of employing a standardized muscle strength testing protocol. Luc J. Hébert, PT, PhD, CD Désirée Maltais, PT, PhD CIRRIS-IRDPQ, Quebec, Canada

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.407
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.002

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 head0.016
GPT teacher head0.272
Teacher spread0.256 · 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.

Study designNot applicable
Domainnot available
GenreCommentary

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

Citations0
Published2016
Admission routes1
Has abstractyes

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