Contributions of symptom laterality and hand dominance on proprioception in Parkinson's disease
Bibliographic record
Abstract
Aims: Using a limb matching task, the current study investigated the influence of both hand dominance and motor asymmetry on proprioceptive acuity in Parkinson's disease (PD). Methods: 36 healthy older adults (controls) and 45 PD patients underwent an active contralateral elbow joint position-matching task. The investigator gently assisted (active: participant contracted muscles) one of the participant's arms (reference limb) into one of two angles (50º and 90º). Participants actively matched that position with the contralateral limb, without vision. All participants were right handed and PD patients were separated into two groups according to the limb (upper) that was more affected by disease (more-affected and less-affected limbs) (right-limb affected: n=15; left-limb affected: n=30). Kinematic data was collected on joint position (absolute error). Results: Right-limb affected PD showed more error in the less-affected/non-dominant limb (p
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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 | 0.000 | 0.002 |
| 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) | 0.001 | 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".