STENOTIC AND OBSTRUCTIVE LESIONS
Bibliographic record
Abstract
This was a retrospective analysis of 12 consecutive cases of middle cerebral artery stenosis and 9 consecutive cases of middle cerebral artery occlusion that presented to our hospital with acute cerebral ischemia. The degree and area of the cerebral infarctions were assessed with the Alberta Stroke Program Early CT Score (ASPECTS) and ASPECTS-DWI (APSECTS with assessment of white matter lesion using diffusion-weighted image). As for cerebral infarctions in the region of the perforating artery, lesions that were more than 20 mm long in the caudal-cranial direction were diagnosed as branch atheromatous disease (BAD). Activities of daily living (ADL) were poorer in the cases with lower ASPECTS and ASPECTS-DWI. ADL tended to be worse in cases with BAD than in those without. The prognosis was significantly poorer in the group with ASPECTS≤7 points. ASPECTS tended to be lower in cases with BAD than in those without. ADL, ASPECTS and the presence of BAD were not significantly different between the stenosis and obstruction groups. In summary, the neurological prognosis was dependent on the extent of the cerebral infarction and was related to BAD to some extent. These findings will be important when considering medical treatment at the outpatient clinic setting.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".