La prise en charge des nouveau-nés dont la mère a pris des opioïdes pendant la grossesse
Bibliographic record
Abstract
Chez les nouveau-nés, l’incidence de sevrage aux opioïdes a augmenté rapidement dans bien des pays depuis dix ans, y compris au Canada. Ce phénomène est très inquiétant pour la santé et le développement précoce du cerveau. La plus grande exposition prénatale aux opioïdes reflète l’utilisation croissante d’opioïdes sur ordonnance, la consommation d’opioïdes illégaux et le recours aux thérapies de substitution aux opioïdes. Les nouveau-nés sont à haut risque de présenter des symptômes d’abstinence ou de sevrage susceptibles d’exiger une évaluation et un traitement. Le présent point de pratique traite expressément des effets du sevrage aux opioïdes et des stratégies de prise en charge des nouveau-nés d’une mère dépendante aux opioïdes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".