Late onset of atypical paroxysmal non-kinesigenic dyskinesia with remote history of Graves’ disease
Bibliographic record
Abstract
Paroxysmal non-kinesigenic dyskinesia (PNKD) is a rare hyperkinetic movement disorder and falls under the category of paroxysmal movement disorders. In this condition, episodes are spontaneous, involuntary, and involve dystonic posturing with choreic and ballistic movements. Attacks last for minutes to hours and rarely occur more than once per day. Attacks are not typically triggered by sudden movement, but may be brought on by alcohol, caffeine, stress, fatigue, or chocolate. We report a patient with multiple atypical features of PNKD. She had a 7-year history of this condition with onset at the age of 59, and a remote history of Graves' disease requiring total thyroidectomy. The frequency of attacks in our case ranged from five to six times a day to a minimum of twice per week, and the duration of episode was short, lasting not more than 2 min. Typically, PNKDs occur at a much younger age and have longer attack durations with low frequency. Administering clonazepam worked to reduce her symptoms, although majority of previous research suggests that pharmacological interventions have poor outcomes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.002 | 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".