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Record W2342838546 · doi:10.1097/pep.0000000000000151

The Manual Ability Classification System

2015· article· en· W2342838546 on OpenAlexafffund
Deepa Jeevanantham, Emily Dyszuk, Doreen J. Bartlett

Bibliographic record

VenuePediatric Physical Therapy · 2015
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsWestern University
FundersCanadian Institutes of Health Research
KeywordsComputer scienceClassification schemeReliability (semiconductor)Information retrieval

Abstract

fetched live from OpenAlex

In Brief Purpose: To examine the use of the Manual Ability Classification System (MACS) and to identify gaps in the literature by conducting a thorough search of existing publications from 2006 to March 2013. Methods: An extensive literature search included 15 databases, using the search terms “Manual Ability Classification System” or “MACS” to retrieve relevant abstracts. Results: A total of 161 articles were identified for final inclusion. The review identified literature that supports the reliability, validity, and stability of the MACS. Conclusions: The MACS could be considered as a standard classification for children with cerebral palsy on the basis of manual abilities. The MACS can be reliably used for children between 4 and 18 years and adults between 18 and 24 years. The use of the MACS is expected to increase; further work is required to explore the use of the MACS in clinical practice. The authors describe reports of use of the Manual Ability Classification System (MACS) in research and professional literature. Further study of clinical adoption of the MACS is needed.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.562
Threshold uncertainty score0.238

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 integrity0.0000.000
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 head0.049
GPT teacher head0.320
Teacher spread0.272 · 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

Citations30
Published2015
Admission routes2
Has abstractyes

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