Case 2: Gross Motor Regression in an 18-month-old Girl
Bibliographic record
Abstract
1. Ronish Gupta, MD* 2. Asha Nair, MD* 3. Hugh J. McMillan, MD, MSc* 1. *Department of Pediatrics, Children’s Hospital of Eastern Ontario, Ottawa, Ontario, Canada A previously healthy 18-month-old girl presents to the emergency department with refusal to walk. Initially demonstrating only mild exercise intolerance, her weakness has progressed over the past 6 weeks, and she is now no longer able to stand. She has no ataxia, seizures, or oculobulbar weakness, and her language skills remain unaffected. Her growth and neurodevelopment were previously normal. Further history reveals nonbilious, nonbloody vomiting since age 12 months, initially occurring once or twice per month but gradually increasing to several times per week. She has had no diarrhea, abdominal pain, or fever but has lost 1.0 kg (2.2 lb) of weight during the past month. Results of her remaining history and dietary review are unremarkable. Iron supplements were started empirically by her family physician and are her only medication. On examination, she appears tired and will not stand without support. Her heart rate is 125 beats/min; respiratory rate, 26 breaths/min; blood pressure, 94/65 mm Hg; oxygen saturation, 96% in room air; and temperature, 100.2°F (37.9°C) measured rectally. Growth parameters were as follows: weight, 25th percentile; height, 50th …
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".