A case of large right MCA stroke with hyperdense MCA sign in CT imaging
Bibliographic record
Abstract
A 76-year-old woman with no significant medical history was brought to the emergency department with complaints of sudden onset of left-sided weakness and facial drooping 1 hour prior to the arrival. On physical examination, patient had profound left-sided neglect and conjugate deviation of the eyes to the right side. Motor examination showed grade 0 power on left upper and lower extremities, and she had 3+ reflexes on the left and 2+ reflexes on the right. Babinski was positive on the left side. She was sent for a CT scan which showed increased density of M1 segment of middle cerebral artery (MCA) with loss of grey white differentiation of MCA territory (figure 1). Alberta Stroke Programme Early CT Score was 8. Patient’s initial National Institutes of Health Stroke Scale score was 17 and was immediately given tissue plasminogen activator (TPA) as the family adamantly refused endovascular procedure; however, …
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".