Supporting adolescents presenting with illicit drug toxicity
Bibliographic record
Abstract
A 16-year-old male-identifying young person is brought into the emergency department (ED) by emergency health services (EHS) who were called due to the teen having an unresponsive episode during an evening out with friends. He had taken a pill that he believed to be MDMA, and lost consciousness approximately 5 min after ingestion. His friend administered one dose of intranasal naloxone (4 mg), which had a partial effect, but the patient remained obtunded. EHS provided an additional dose of naloxone (0.4 mg given intramuscularly) during transport, with minimal improvement in the level of consciousness. Upon arrival at the ED, the patient is minimally responsive and has a Glasgow Coma Scale (GCS) score of 9 (eyes 2, motor 5, and verbal 2). His heart rate is 78 beats/min, blood pressure is 104/68 mm Hg, respiratory rate is 10 breaths/min, oxygen saturation is 94% on 6 L of oxygen provided via a non-rebreather mask, and temperature is 36.1°C (axillary). An additional dose of intramuscular naloxone 0.4 mg is administered with minimal effect. Further investigations show a normal hematology panel and normal electrolytes. Capillary blood gas shows mild respiratory acidosis with a pH of 7.29, pCO2 of 54, and HCO3 of 24. A urine toxicology screen is positive for cannabinoids, MDMA, fentanyl, and benzodiazepines. Given the presence of benzodiazepines, reversal with flumazenil is considered, but not administered, as the patient’s GCS score and respiratory rate are steadily improving. He is managed with supportive care until his GCS score returns to 15.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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".