The music therapy assessment tool for low awareness states
Bibliographic record
Abstract
Many existing assessment tools for patients in low awareness states involve language functioning capabilities. Information regarding the construction and validity of a new assessment tool that relies on music, called the Music Therapy Assessment Tool for Low Awareness States (i.e. MATLAS), is presented in this paper. A total of nine assessments, involving eight patients, were examined. Results from the investigation of scores from three tools: the MATLAS, the Sensory Modality Assessment and Rehabilitation Technique (SMART), and the Wessex Head Injury Matrix Main Scale (WHIM)), as administered by multidisciplinary staff, were analysed, and the MATLAS was found to have good validity with these measures. While limitations involved in this work prevent conclusions about the validity of the MATLAS being drawn, they support the need for further research, and indicate that MATLAS may be a valid tool to assist with multidisciplinary assessment of such patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".