A 10-Year-Old Girl with Progressive Generalized Weakness
Bibliographic record
Abstract
Case Presentation Dr. Harvey Sarnat:A.Y. was a 10-year-old Mexican girl who presented with a 7-year history of progressive weakness. She was the full-term product of an uncomplicated pregnancy and delivery, weighing 2850 grams at birth. Early developmental milestones were achieved at the expected rate until age three, when frequent falling was noted. Progressive weakness of her legs ensued, and at age nine years, A.Y. lost the ability to walk beyond a few steps, and shortly thereafter she could not stand without support. She had no seizures, visual disturbance, dysphagia, or incontinence. Previously an excellent student, her academic performance in school had deteriorated over the past year. She was not on any medications. Family history was negative for any known neurological or neuromuscular diseases. A.Y. was an only child. Both parents were alive and well; there was no history of consanguinity.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".