Frontotemporal lobar dementia vs. solvent intoxication: A piece that does not fit the puzzle
Bibliographic record
Abstract
This chapter talks about a 75-year-old retired sailor who was in very good overall physical condition. At the first assessment, the sailor reported a gradual cognitive decline, subjectively described as memory impairment, during the last 2 years. The neurologist diagnosed mild right-sided Parkinsonism in upper body, with tremor and bradykinesia, but no rigor. Walking was near normal, but he was unsteady on turning and had a pathological pull-test. This case presented with asymmetric Parkinsonism, and cognitive impairment was noted at the time of diagnosis. Thus, the important differential diagnoses were possible: dementia associated with Lewy Bodies (DLB) or Dementia associated with Parkinson's disease (PDD). DLB is characterized by dementia accompanied by idiopathic Parkinsonism, cognitive fluctuation, and persistent visual hallucinations. PDD and DLB have similar clinical presentation as well as underlying brain changes, and differentiation between the two syndromes is entirely based on the relative timing of Parkinsonism and cognitive impairment.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| 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".