Bibliographic record
Abstract
[Objective]To explore the application of Montreal cognitive Assessment( MoCA) in the screening of mild cognitive impairment( MCI) in elderly patients.[Methods]A total of 56 MCI patients were selected as MCI group and 50 adults with normal cognition as control group. Their cognitive function was assessed according to the MoCA and MMSE scales. And the results were analyzed.[Results]The total score of MoCA was significantly lower than the total score of MMSE in MCI group and control group( P 0.01). The sensitivity and specificity of MoCA and MMSE were 96.4% and 84%,35.7% and 100%,respectively in MCI screening. The total MoCA and its sub-items were significantly different between the MCI group and the control group( P 0. 01),except for the fixed orientation( P 0. 01).[Conclusion]MoCA is a highly sensitive scale for MCI screening,which allows comprehensive assessment of the cognitive function of MCI patients,and it is more sensitive in screening MCI than MMSE.
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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 | 0.002 | 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) | 0.000 | 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 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".