Acute Migraine-Associated Borderzone Cerebellar Infarction
Bibliographic record
Abstract
Migraine has been identified in a recent meta-analy-sis to be an independent risk factor for stroke with arelative risk of 2.16 (95% confidence interval 1.48,2.48), the risk being higher in migraine with aura(MA), in women taking oral contraceptives (1) andin smokers (2). A higher prevalence of white matterabnormalities is also seen in migraine (3–6).Migraine has been associated with supratentorialposterior circulation infarcts but not an excess ofcerebellar infarcts compared with non-migraineurs(5, 7). However, in the recent Cerebral Abnormali-ties in Migraine, an Epidemiological Risk Analysis[CAMERA (6)] study, small ( 90%) in cere-bellar arterial borderzone territories. Here wedescribe a patient with MA who presented with aprolonged headache associated with mild gait ataxiaand evidence of acute infarcts in arterial borderzonesin both cerebellar hemispheres on diffusionweighted MRI (DW-MRI).
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".