Bibliographic record
Abstract
This chapter talks about a 69-year-old man who developed a Kluver-Bucy syndrome (KBS), pseudobulbar affect, depression, and psychosis after multiple cerebral ischemic lesions. Detailed neurological and cognitive evaluations were conducted beginning at age 71. The initial diagnostic impression was that this patient developed a complex and severe neuropsychiatric symptomatology associated with a dementia syndrome secondary to vascular disease, although the presence of a neurodegenerative disease could not be ruled out. This patient presented with a significant neuropsychiatric symptomatology after several episodes of strokes. However, the severity of the vascular disease detected by MRI did not explain these symptoms, which initially led to the assumption that a cortical neurodegenerative disorder was also present. The most interesting aspect of this patient was that he had persistent behavioral symptomatology in the context of a stable or improving cognitive syndrome.
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| 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".