The New Antiepileptic Drugs or the Traditional Antiepileptic Drugs? Update in Terms of Drug Side Effects
Bibliographic record
Abstract
Epilepsy is defined as episodic cerebral dysfunction due to increased excitability of brain cells that caused by various reasons. Anti-epileptic drugs (AED) cannot stop the mechanisms that cause epilepsy, but they can decrease the frequency of seizures or completely stop the seizures without causing a general depression in central nervous system while they are using. In this case report, we aimed to discuss the therapeutic way that physician chose, depending on personal experiences in patient that developed adverse effects to both old generation (phenytoin, valproic acid) and new generation (Vaigabatrine, Lamotirgine, Levetiracetam, Pregabaline) AEDs. Even though it needs to be careful when treating a patient with epilepsy to maximize the therapeutic efficacy and to prevent complications, we intended to emphasise that there are unknown parts of AED mechanisms. doi: http://dx.doi.org/ 10.4021/jnr167e
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.002 | 0.006 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".