Breaking down barriers to identify hemorrhagic transformation in ischemic stroke
Bibliographic record
Abstract
Hemorrhagic transformation (HT) is a major complication in ischemic stroke, associated with increased morbidity and mortality. Identifying ischemic stroke patients at risk of HT could have substantial clinical implications, especially in the setting of thrombolytic therapy. Acute stroke patients at very high risk for HT could foreseeably have alternative treatment, such as a modified dose of thrombolytic agent or coadministration of a second agent able to reduce HT risk. In this issue of Neurology ®, Kazmierski et al.1 sought to predict clinical deterioration due to HT in ischemic stroke by measurements of proteins in blood. A total of 458 stroke patients were enrolled in their study, 85 of whom experienced clinical deterioration, and 33 of whom had HT. Stroke patients who developed HT had increased fasting glucose and decreased platelet count compared to those …
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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 | 0.013 | 0.037 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.015 | 0.027 |
| Insufficient payload (model declined to judge) | 0.004 | 0.004 |
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".