Prognostic Effect of Early Treatment of Paraneoplastic Limbic Encephalitis in a Patient with Small-Cell Lung Cancer
Bibliographic record
Abstract
Paraneoplastic neurologic syndrome (pns) is an uncommon manifestation of cancer and may present before any symptoms of malignant disease. This syndrome occurs in fewer than 1 of every 10,000 patients diagnosed with a malignancy. Anti-neural antibodies have been associated with pns, suggesting that this condition may reflect immune mechanisms. Depending on the region of the nervous system that has been affected, pns can have a number of manifestations. Paraneoplastic limbic encephalitis (ple) stems from involvement of the limbic system and may present with seizures and changes in mood, memory, and personality. The present report describes the case of a 55-year-old man presenting with ple in the setting of small-cell lung cancer, with subsequent improvement of his neurologic symptoms. The value of rapid diagnosis and multidisciplinary management of this syndrome are discussed.
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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) | 0.001 | 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".