Application of Mo CAscale in assessing cognitive impairment in patients with transien tischemic attacks
Bibliographic record
Abstract
Objective To explore the assessment of Mo CAscale on cognitive impairment after transient ischemic attacks(TIA).Method Fifty-one TIA patients were tested for cognitive function by using Montreal Cognitive Assessment(Mo CA) after onset.Another 41 health people matched with age,gender and education level were selected as the control group.The results of Mo CA test were compared between the two groups.Results The summed scores of Mo CA in patients with TIA were significantly lower than those of normal controls.The scores of vision space and executive function,attention and delayed memory in TIA patients were markedly lower than those in normal controls(P0.01),but there was no significant difference in the scores of denomination,language,Abstract thinking and orientation between two groups(P0.05).Conclusion TIA patients have cognition impairments related to frontal and temporal lobes at some extent,and Chinese edition Mo CA can be used to evaluate cognition impairment after TIA.
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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 | 0.002 |
| 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".