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Record W327056331 · doi:10.3233/jhd-140010

Aquatherapy for Neurodegenerative Disorders

2014· review· en· W327056331 on OpenAlexafffund
Alyson Plecash, Blair R. Leavitt

Bibliographic record

VenueJournal of Huntington s Disease · 2014
Typereview
Languageen
FieldNeuroscience
TopicGenetic Neurodegenerative Diseases
Canadian institutionsChild and Family Research InstituteUniversity of British ColumbiaUniversity of British Columbia Hospital
FundersUniversity of British Columbia
KeywordsAmyotrophic lateral sclerosisDiseaseMultiple sclerosisMedicinePhysical medicine and rehabilitationParkinson's diseaseMovement disordersPsychiatryPathology

Abstract

fetched live from OpenAlex

Aquatherapy is used for rehabilitation and exercise; water provides a challenging, yet safe exercise environment for many special populations. We have reviewed the use of aquatherapy programs in four neurodegenerative disorders: Parkinson's disease, multiple sclerosis, amyotrophic lateral sclerosis, and Huntington's disease. Results support the use of aquatherapy in Parkinson's disease and multiple sclerosis, however further evidence is required to make specific recommendations in all of the aforementioned disorders.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.985
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.057
GPT teacher head0.357
Teacher spread0.300 · 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
GenreReview

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

Citations55
Published2014
Admission routes2
Has abstractyes

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