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Record W2197546682 · doi:10.1017/s1041610215001866

Music therapy in patients with dementia and behavioral disturbance on an inpatient psychiatry unit: results from a pilot randomized controlled study

2015· letter· en· W2197546682 on OpenAlexaff
Joanna Thornley, Hussein Hirjee, Akshya Vasudev

Bibliographic record

VenueInternational Psychogeriatrics · 2015
Typeletter
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsWestern UniversityUniversity of Windsor
Fundersnot available
KeywordsDementiaAnxietyPsychiatryDepression (economics)AggressionMedicineRandomized controlled trialPopulationPsychosisDisease

Abstract

fetched live from OpenAlex

The prevalence of dementia continues to grow worldwide due to an aging population and is projected to affect 65.7 million people by 2030 (World Health Organization, 2012). Behavioral and psychological symptoms of dementia (BPSD), including agitation, anxiety, aggression, depression, and psychosis, can occur in as much as 80% of the affected population, frequently necessitating psychiatric admission. Traditionally BPSD have been treated using pharmacological approaches. However, such medications could have serious adverse effects and additionally have limited efficacy in reducing such symptoms (Ballard et al., 2009).

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.168
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.044
GPT teacher head0.345
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 designRandomized trial
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

Citations22
Published2015
Admission routes1
Has abstractyes

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