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Record W2400571699 · doi:10.7870/cjcmh-2016-029

Cognitive Behavioural Therapy-Based Music (CBT-Music) Group for Symptoms of Anxiety and Depression

2016· article· en· W2400571699 on OpenAlexaffvenue
Chris Trimmer, Richard Tyo, Farooq Naeem

Bibliographic record

VenueCanadian Journal of Community Mental Health · 2016
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsKingston Health Sciences CentreQueen's University
Fundersnot available
KeywordsAnxietyDepression (economics)Randomized controlled trialCognitionClinical psychologyMusic therapyPsychologyMental healthCognitive behaviour therapyPsychotherapistGroup psychotherapyPsychiatryMedicineInternal medicine

Abstract

fetched live from OpenAlex

Cognitive behavioural therapy-based music (CBT-Music) group is a nine-week guided self-help group for individuals with mild-to-moderate symptoms of anxiety and/or depression. This is a novel treatment developed for use in a community-based mental health setting. A feasibility study (a randomized control trial) has shown promising results for the CBT-Music group.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.829
Threshold uncertainty score0.975

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.102
GPT teacher head0.361
Teacher spread0.259 · 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

Citations15
Published2016
Admission routes2
Has abstractyes

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