P11.05 ASSESSING VENTRICULAR-VASCULAR INTERACTIONS AFTER STENTED COARCTATION
Bibliographic record
Abstract
with Scheltens' visual rating scale.Arterial wall parameters were measured by echo-tracking and applanation tonometry.RLS was assessed by contrast transcranial Doppler sonography with agitated saline.In order to explore the relationship between presence and load of DWMLs and possible risk factors logistic and linear regressions were applied.Results: 29 (25.4%)migraineurs had DWMLs.They were significantly older (p<0.001), had more cardiovascular risk factors, thicker carotid intimamedia (pZ0.006),higher CS (pZ0.004) and AIx (0.001) compared to migraineurs without DWMLs.The prevalence of large RLS was higher in patients with DWMLs, but not significant.The predictors of DWMLs were age (OR 1.11, p<0.001) and hypertension (OR 6.57, pZ0.001).Higher DWMLs load was predicted by age, obesity, hypertension, and decreased HDL cholesterol.We established no relationship between presence and load of DWMLs and arterial wall parameters or RLS.Conclusions: Age and traditional cardiovascular risk factors, but not arterial wall parameters, are predictors of DWMLs in patients with migraine.P11.03
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".