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Record W2904879297 · doi:10.47513/mmd.v10i4.633

Clinical music study quality assessment scale (Musiquas) 1st edition

2018· article· en· W2904879297 on OpenAlex
Artur C. Jaschke, Laura Eggermont, Sylka Uhlig, E.J.A. Scherder

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMusic and Medicine · 2018
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsnot available
Fundersnot available
KeywordsScale (ratio)Quality (philosophy)Delphi methodQuality assessmentRating scalePsychologyComputer scienceMedicineExternal quality assessmentGeographyCartographyArtificial intelligence

Abstract

fetched live from OpenAlex

Publications in scientific journals have extensively used assessment scales to address methodological quality. So far there is no scale which assesses the quality of studies in the vast amount of music related sciences.The clinical music study quality assessment scale (Musiquas) addresses this issue providing a 10-point rating scale. Studies are assessed on four general categories: Selection, Control criteria, Exposure and Outcome.Musiquas is based on the Newcastle-Ottawa Scale (NOS) for assessing the quality of studies in meta-analyses and attuned by the authors to fit the demand of quality assessment in the wide array of clinical music studies.A three round Delphi procedure as well as open online commentaries contributed to the creation of the assessment scale presented here.Conclusively, this scale will contribute to higher quality methodologies in systematic reviews and meta analyses in music sciences and intervention research.

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.

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)0.004
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.713
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0170.000

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 head0.273
GPT teacher head0.537
Teacher spread0.265 · 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