Bibliographic record
Abstract
A 9-year-old girl presented with a 1 year history of hearing voices. She described the voices as projecting at her, shifting from loud to soft with an echoing quality, with a gradual onset and offset. The events occurred after hearing someone talk to her and did not have any other triggers. She felt confused and afraid toward the end of these events. Frequency of the episodes steadily increased to 3 to 4 times per week, lasting 3 to 5 minutes in duration. There was no warning sign and no change in behaviour afterwards. She was otherwise healthy, with no other pertinent medical, developmental or learning concerns. Physical examination revealed an alert and interactive child with a normal neurological exam. She was subsequently sent for further investigations. An electroencephalogram (EEG) revealed intermittently asymmetric and slow background over the left temporal–occipital region and a burst of polyspike discharges in the left posterior hemisphere, which occurred after the patient’s mother turned on music. This was clinically correlated with an episode that the patient described as her typical habitual sensation. Magnetic resonance imaging (MRI) brain was normal. She failed monotherapy of carbamazepine due to breakthrough seizures and is currently on combination therapy of carbamazepine and levetiracetam.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".