Stroke Prognostication Obeys the Same Rules as Real Estate
Bibliographic record
Abstract
In patients with acute ischemic stroke (AIS) with large vessel occlusion (LVO), baseline ischemic core extent is one of the main criteria needed before a decision is made for mechanical thrombectomy (MT).1 The measurement method and the thresholds depend on the time from symptom onset. According to the selection criteria used in most positive MT trials within 6 to 12 hours after onset,2 it is currently recommended to offer MT to patients with stroke within 6 hours from onset if their Alberta Stroke Program Early Computed Tomography Score (ASPECTS) is ≥6.1 More recent trials for patients with stroke with an unknown onset or a late onset (i.e., >6 hours) have also shown benefits of MT if the core infarct volume was below a certain threshold.3,4 Both of these algorithms imply that, ischemic lesions being irreversible, the initial infarct core can only remain the same or grow bigger, and a large initial infarct can only lead to a final infarct that will be at least as large. Final infarct volume is ultimately what shows the extent of brain lesions, and its size has been shown to be correlated with the clinical outcome.5
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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 | 0.009 | 0.044 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.009 | 0.009 |
| Insufficient payload (model declined to judge) | 0.003 | 0.006 |
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".