A 14-year-old girl with short stature, incomplete puberty and severe menstrual bleeding
Bibliographic record
Abstract
A 14-year-old girl was seen in her local emergency department following multiple syncopal episodes with loss of consciousness following 1 week of severe vaginal bleeding. She was tachycardic and had orthostatic hypotension and a haemoglobin of 50 g/L. She was treated with multiple blood transfusions, tranexamic acid and oral contraceptive (OCP) tablets. Her menarche occurred 3 months earlier, and she had three normal cycles before presentation. She weighed 46.9 kg (25th–50th percentile); her height was 143.3 cm (<<3rd percentile) and well below mid-parental height (167.6 cm, 75th percentile). Her BMI Z-score was 0.92 (80th percentile). She had mild proximal muscle weakness and delayed deep tendon reflexes. Her hair was dry and she had edema of her face and extremities. She had no thyromegaly, acanthosis nigricans or hypopigmentation. She was Tanner Stage III for breast development and early Tanner II for pubic hair development and had no axillary hair. Investigations revealed normal coagulation studies, liver function, creatinine, glucose and electrolytes. Her beta-human chorionic gonadotropin (BHCG) screen was negative. Her transabdominal ultrasound showed clots in the uterus, no evidence of ovarian cysts and a moderate amount of free fluid in the pelvis. She had a normal echocardiogram.
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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 | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.012 | 0.013 |
| Insufficient payload (model declined to judge) | 0.002 | 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".