Anti N-methyl-D-aspartate receptor encephalitis: a game-changer?
Bibliographic record
Abstract
INTRODUCTION: Anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis is an inflammatory disorder of the brain that has garnered significant interest within the medical and lay communities. There is a need for formal guidelines to assist physicians in identifying patients who should undergo testing for NMDAR encephalitis, recognizing the high potential for this potentially treatable disease to mimic more common disorders, and consequently remain undiagnosed. AREAS COVERED: This review highlights the impact of the discovery of NMDAR encephalitis on the fields of neurology and psychiatry, and discusses the steps that are necessary to improve recognition and treatment of NMDAR encephalitis. Expert commentary: While much progress has been made in our understanding of NMDAR encephalitis, much work remains to be done to delineate the underlying disease mechanisms and their relevance to brain function.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| 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) | 0.002 | 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 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".