Teaching NeuroImages: DWI and EEG findings in Creutzfeldt-Jakob disease
Bibliographic record
Abstract
A 62-year-old woman, previously healthy, presented with 3 weeks of progressive short-term memory loss, dyscalculia, dysgraphia, appetite loss, and frequent episodic left arm dystonic posturing and eyebrow elevation. On examination, she also had finger agnosia, dysarthria, agraphesthesia, and astereognosis bilaterally, with myoclonus, ideomotor apraxia (left worse), and wide-based gait. EEG showed slowing and periodic lateralized discharges over the right hemisphere with triphasic morphology, less often involving the left, reflecting clinical asymmetry (figure 1).1 MRI brain showed diffusion restriction in the bilateral basal ganglia with cortical ribboning more prominent on the right involving several gyri, consistent with Creutzfeldt-Jakob disease (figure 2).2
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".