Sporadic Creutzfeldt-Jakob Disease with Worsening Depression and Cognition
Bibliographic record
Abstract
A 58-year-old male presented with a one-year history of low mood, early morning awakening from sleep, apathy, difficulty with memory, concentration and organization. This had been associated with intrusive concerns of a recent social stressor. He was no longer able to work and was on medical disability. Except for a 20kg weight loss there were no other constitutional or neurological symptoms. He had hypertension and hypercholesterolemia and was on atorvastatin and aspirin. He scored 28/30 on mini-mental status examination (MMSE) with errors on object recall; however he could recall forgotten items after cueing. He had difficulty with concentration, was apathic andhad a negative outlook to the future. His neurological examination and a detailed hematological work up including chemistry, cell counts, vitamin B12, folate, and renal, hepatic and thyroid function tests were normal. A brain magnetic resonance image (MRI) showed mild cerebral atrophy. Based on a formal neuropsychological assessment he was diagnosed with depression and started on Venlafaxine.
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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 | 0.002 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".