Paediatric methadone ingestions: An under-recognized form of child maltreatment?
Bibliographic record
Abstract
Emergency medical services received a telephone call from a mother reporting that her three-month-old daughter “turned blue and then stopped breathing” after a prolonged period of crying. On arrival, paramedics found an infant making minimal respiratory efforts with a heart rate of 100 beats/min. Bag-mask ventilation was initiated on the scene. During transport to hospital, she had no spontaneous respiratory effort. Endotracheal intubation was performed and the infant was admitted to the intensive care unit. On admission, pH was 6.84, pCO2 102 mmHg, and serum lactate 28 mmol/L. Chest radiography demonstrated moderate pulmonary edema. Her medical record revealed a two-week stay in the intensive care unit following birth for treatment of neonatal abstinence syndrome because her mother had a history of prescription opioid abuse and had been enrolled in a methadone maintenance treatment (MMT) program throughout pregnancy. The baby had been treated with oral morphine and formula feeding was initiated because the mother did not wish to breastfeed.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".