Editors' Note: Hyperacute Perfusion Imaging Before Pediatric Thrombectomy: Analysis of the Save ChildS Study
Bibliographic record
Abstract
In “Hyperacute Perfusion Imaging Before Pediatric Thrombectomy: Analysis of the Save ChildS Study,” Lee et al. reported the use of perfusion imaging in 15 children who underwent thrombectomy for acute stroke. The authors found that perfusion imaging did not delay time from symptom onset to recanalization. Siegler and Nguyen questioned whether there was any difference from arrival time to groin puncture or recanalization. They also noted that based on guidance from the American Heart Association and the Society of Vascular and Interventional Neurology, perfusion imaging may not be necessary in pediatric patients who present <6 hours after symptom onset. Lee responded that the use of perfusion imaging did not affect time from arrival to recanalization; however, the time of groin puncture was not recorded. The author also noted that there is a need for additional research on prethrombectomy imaging in pediatric patients, including the use of perfusion imaging, the selection between CT and magnetic resonance imaging, and the optimal Alberta Stroke Program Early CT (ASPECT) score.
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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 | 0.006 | 0.052 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".