Lamotrigine-Induced Neutropenia
Bibliographic record
Abstract
general (3).However, the use of antipsychotics in catatonia treatment is a contentious issue, given reports that high potency antipsychotics precipitated or exacerbated catatonia or neuroleptic malignant syndrome (NMS), a variant of malignant catatonia (3).In this regard, some authors suggest adjunctive use of a benzodiazepine while the antipsychotic drugs are being introduced, in the hope that a benzodiazepine may reduce the risk of NMS (6).We cannot ascertain whether this patient would have responded to higher dosages of lorazepam.However, the dosage this patient received is in the range used by other investigators to treat catatonia (2).While benzodiazepines, ECT, or atypical antipsychotics have been used to treat the acute phase of periodic catatonia, more research is needed on the duration of treating the acute phase with these modalities, as well as on the treatment of interepisode residual symptoms.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.015 | 0.011 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".