Bibliographic record
Abstract
This chapter describes hemiparesis followed by dementia using the case of a 73-year-old woman who presented to the emergency room with mild left hemiparesis since awakening the day before. Computed tomography (CT) scan showed a known old right parieto-temporal infarct and a right caudate nucleus lacune. Magnetic resonance imaging (MRI) done within 3 days of presentation show the same ischemic lesions without diffusion restriction, with mild leukoaraiosis and atrophy for age. Neuropsychological tests showed severe executive functions deficits, moderate to severe memory deficits, and mild visuoconstructive and ideomotor apraxia. The initial diagnostic impression was mixed dementia, although a purely vascular dementia could not be ruled out. Repeated mini-mental state examination (MMSE) showed decline over time, despite temporary improvement after initiation of a cholinesterase inhibitor, galantamine (Reminyl ER), 3 months after presentation. Blood pressure remained high during initial follow-up, requiring several anti-hypertensive medication adjustments.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 0.012 |
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".