Personality Variables in Prediction of Control over Seizures in Patients with Partial Epilepsies
Bibliographic record
Abstract
The current study has been carried out in order to evaluate the possible relationship between premorbid personality constructs with therapeutic remission and seizures reduction under antiepileptic treatment in patients with partial forms of epilepsy. One hundred and three patients were included into study. There were 33 men and 70 women. The Munich Personality Test and Toronto Alexithymia Scale (TAS-26) have been used for the assessment of premorbid personality in patients. Product moment correlation and multiple forward stepwise regression were used for the analysis of interrelationship between independent variables (personality constructs) and dependent variables of therapeutic remission and percentage in seizures reduction. Obtained results have shown the favorable prognostic significance of Neuroticism, Extraversion, Frustration Tolerance for the percentage of sum of all partial seizures reduction and for sensory partial and motor partial seizures reduction. On the other hand, alexithymia correlated negatively with length of remission and percentage of all seizures reduction.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".