Bibliographic record
Abstract
A 10-year-old African-Canadian girl experienced a sudden onset of neck stiffness. There was no history of preceding trauma, but she had reported a sore throat and hoarse voice three weeks earlier. Over the next year, she developed progressively worsening torticollis with associated neck pain, daily headaches and intermittent diplopia. She was taking ibuprofen two to three times daily for head and neck pain with partial improvement. She presented to the emergency department 13 months after onset because her head was now locked in position. There was no history of fevers, weight loss, skin rash, joint pain, muscle weakness, sensory deficits or gait abnormalities. On physical examination, the patient’s head was fixed in position with her chin rotated toward the right and her head tilted toward the left. There was minimal tenderness over her left sternocleidomastoid muscle and no palpable neck mass. Her neurological examination, including cranial nerve testing, was normal. She had no active or effused joints, enthesitis or tenosynovitis. An ophthalmological assessment, including visual acuity, was also unremarkable.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.012 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".