Bibliographic record
Abstract
This chapter talks about a 39-year-old man, a human resource executive, who was seen at the outpatient clinic of the Behavioral and Cognitive Neurology Unit of the Hospital das Clı´nicas, a public university hospital in Sao Paulo, Brazil. Physical examination showed a well-nourished man, with a blood pressure of 130/80 mmHg, and neurologic examination revealed only dysarthria, with normal and reactive pupils and normal reflexes. His insight about his problems seemed to be normal. The initial diagnostic impression was a Frontotemporal Dementia (FTD), but the final diagnosis was of paretic dementia, a neuropsychiatric condition caused by neurosyphilis. He was treated with intravenous aqueous crystalline penicillin G, 4 million units every 4 hours for 21 days, and with fluoxetine. FTD or behavioral subtype of fronto-temporal lobar degeneration was the initial diagnosis in this case because the clinical picture was dominated and confirmed the presence of frontal or fronto-temporal involvement.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.005 |
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".