Assessing self-awareness of dyskinesias in Parkinson's disease through movie materials.
Bibliographic record
Abstract
The aim of our study was to determine self-awareness of dyskinesias and other core motor symptoms in Parkinson's disease (PD) through the use of movie presentations. A scale based on 10 movies (five depicting dyskinesias and five showing core symptoms) and the Self-Assessment Parkinson's Disease Disability Scale were administered to 21 patients (all with a Mini-Mental State Examination - MMSE score ≥ 25). Neurological assessment included the Unified Parkinson's Disease Rating Scale and the Hoehn-Yahr and Schwab-England scales. In addition, the MMSE, Beck Depression Inventory and Stroop task were administered. Overall, patient and caregiver ratings of dyskinesias and core PD symptoms were consistent. Two patients (9%) completely denied dyskinesias, while four patients (19%) significantly underestimated their dyskinesias. Our results confirm that poor self-awareness of symptoms in PD may be selective and that denial of dyskinesias affects only a minority of patients with normal cognitive status (MMSE ≥ 25). Most patients are aware of the presence of dyskinesias. Poor self-awareness of dyskinesias is associated with longer disease duration.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".