Serbian Validation of the Individualized Neuromuscular Quality of Life Questionnaire (INQoL) in Adults With Myotonic Dystrophy Type 1
Classification
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".
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.
Bibliographic record
Abstract
Background : To validate Individualized Neuromuscular Quality of Life Questionnaire (INQoL) in Serbian patients with myotonic dystrophy type 1 (DM1). Methods : This study included 102 patients with adult onset DM1. Validation included reliability analysis (internal consistency, reproducibility), content-related validity (psychometric evaluation, construct-related validity, criterion-related validity) and concurrent validity. Results : The internal consistency of the Serbian version of INQoL was excellent (Cronbach’s alpha 0.864-0.961). Test-retest reliability satisfied the requested level (intraclass correlation coefficient 0.713-0.979). Item internal consistency and discriminant validity were excellent. INQoL scores were significantly affected by age of patients, duration of disease and severity of muscular impairment (P less than 0.01), slightly affected by education (P less than 0.05) and not related to gender (P greater than 0.05). Correlation between INQoL scales and comparable SF-36 domains was significant (P less than 0.01) but INQoL also registered locking and body image omitted by SF-36. Conclusion : Serbian version of INQoL is reliable and valid quality of life (QoL) measure for patients with DM1, able to capture disease specific issues usually omitted by generic questionnaires. doi:10.4021/jnr54w
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it