microRNAs-based Predictor Factor in Patients with Migraine-ischemic Stroke
Bibliographic record
Abstract
Among the clinical spectrum of neurological diseases, migraine is often associated with cerebro-vasculopathy. Impairment of neuroimmune mediators in the central nervous system has been recognized in the pathophysiology of migraine-related stroke. Although genetic correlation was found in patients with migraine-related stroke, the epidemiology of this disease indicates a need in biomarker searching discovery and validation. In this view, small molecule, called microRNAs (miRNAs), able to regulate immune and neuronal processes has been reported in patients with migraine and ischemic stroke and unambiguous miRNAs related to these diseases could be established as new molecular indicator of precocity for clinical and/or pharmacological intervention. Therefore, further exploration of this area is necessary, as greater understanding of these biomarkers could reveal the common mechanisms involved in the pathophysiology of migraine in patients with cerebral infarct.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| 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 | 0.001 |
| 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".