Доменні особливості когнітивних порушень у хворих на первинний і вторинний мозковий ішемічний півкульовий інсульт у найгострішому періоді захворювання
Bibliographic record
Abstract
Research aimed on studying the cognitive impairment in the acute phase of stroke is relevant.Aim. The results of neuropsychological investigation оf 62 patients in the acute period of ischemic hemispheric stroke are described in the article.Methods and results. It has been detected that predementіal cognitive disturbances and mild dementia are prevailed in the structure of cognitive disorders in primary stroke, while in recurrent brain ischemia the mild and moderate dementia dominates. The features of cognitive disorders have been detected by Mini-Menthal State Examination (MMSE), Montreal Cognitive Assessment (MoCA) and Frontal Assessment Battery (FAB) scales and they depend on the affected hemisphere in primary and recurrent ischemic hemispheric stroke.Conclusion. Hemispheric syndromes of cognitive deficits has been established on the basis of domains impairments.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 0.008 |
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".