Bibliographic record
Abstract
The Alberta Stroke Program Early CT Score （ASPECTS） is a simple, reliable and systematic approach for evaluating early ischemic changes in middle cerebral artery territory in patients with ischemic stroke. It can be used to conduct rapid semi-quantitative evaluation of ischemic lesions and help to determine the thrombolytic effect and long-term prognosis. The development of multimodal CT and MRI techniques have enriched the application scope of ASPECTS and have improved the validity and reliability of disease judgment. The development of the posterior circulation Acute Stroke Prognosis Early CT Score has made the fast scores extend to posterior circulation stroke, which is beneficial for all the patients with ischemic stroke to conduct early imaging scores. This article reviews the principle of the ASPECTS system, composition, its application in multimodal CT and MRI, as well as the posterior circulation scores. Key words: Tomography, X-ray computed; Magnetic resonance imaging; Brain ischemia; Stroke; Thrombolytic therapy
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".