Bibliographic record
Abstract
Objective:To investigate the cognitive dysfunction of patients with parkinson disease(PD) by the application of Montreal cognitive assessment(MoCA) scale.Methods:101 cases of patients with PD in our hospital from December 2006 to December 2007 were selected.PD patients with dementia were divided into case group(n=53),and PD patients without dementia were divided into control group(n=48).Method of questionnaire survey was adopted to investigate the baseline information of patients.UPDRS grade and H-Y grading evaluation of the PD degree were included in the questionnaire.MMSE,MoCA and painting clock experiment were used to assess the cognitive function and the results were analyzed.Results:The scores of visual space,attention,delayed recall and calculation ability of case group were lower than those of control group,the differences were statistically significant(P0.05).Conclusion:Cognitive dysfunction of PD patients can be found more easily by MoCA scale.
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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 | 0.000 | 0.001 |
| 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 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".