Bibliographic record
Abstract
Since 2003, four articles on stroke biomarkers as potential diagnostic tests have been published in Clinical Chemistry (1)(2)(3)(4). Each has described an initial foray into attempting to find a holy grail in clinical stroke—a blood test for stroke—and each has provided early exciting results that suggest that we may yet welcome a new era of stroke diagnostics into the clinical realm. Human stroke is remarkably heterogeneous. Stroke varies widely in severity with a majority of strokes being mild. Stroke comes in 3 major types. In North America and Europe, ischemic stroke comprises 85% of all strokes, intracerebral hemorrhage 8%, and subarachnoid hemorrhage 7%. These ratios differ in Asia with up to 30% of strokes occurring as intracerebral hemorrhages. For the neurologist, stroke is relatively easy to diagnose clinically. It is the most common cause of a sudden acute neurologic deficit in both adults and children. Imaging is the mainstay of identifying stroke type because it is not possible to distinguish ischemia from hemorrhage reliably on clinical grounds alone. A brain computed tomographic scan rules in an intracerebral hemorrhage or subarachnoid hemorrhage and in many cases …
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".