Headache, Fever and Back Pain in a 16‐Year‐Old Boy
Bibliographic record
Abstract
A previously healthy 16-year-old boy of East Indian origin was admitted to the Stollery Children's Hospital (SCH) in Edmonton, Alberta in February 2003 for evaluation of headache and back pain.Lower back pain had started suddenly nine days earlier, after lifting weights, and had persisted.A throbbing occipital headache started eight days before admission.The patient thought he had possibly been febrile.There was no known exposure to tuberculosis and no history of ill contacts.There had been recent travel to California and visitors from India had been staying in the home.The boy had always lived in Canada.One day before admission to the SCH, the boy was evaluated in a regional hospital because of worsening headache and back pain.Temperature was 38°C, pulse was 84 beats/min, respiratory rate was 18 breaths/min and blood pressure was 120/80 mmHg.Physical examination revealed a coherent boy in mild distress.He vomited for the first time during the assessment.His neck was stiff and a positive Brudzinski sign was present.Fundoscopy was normal.Tympanic membranes, mouth and throat were normal.No significant lymphadenopathy was noted.Chest, cardiac and abdominal examinations were unremarkable.Cranial nerves, sensation, tone, power, coordination and deep tendon reflexes were normal.On examination of the muskuloskeletal system, there was slight tenderness over the spinus processes of the third and fourth lumbar vertebrae (L3 and L4).
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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 | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".