L’évaluation et la prise en charge de l’énurésie en pédiatrie générale
Bibliographic record
Abstract
Pour évaluer l'énurésie, un trouble pédiatrique courant, il faut en distinguer la forme monosymptomatique de la forme non monosymptomatique et établir la présence d'affections concomitantes. La prise en charge simultanée des facteurs cooccurrents est le meilleur moyen pour obtenir un résultat satisfaisant. Le traitement commence par l'éducation du patient et de sa famille sur l'évolution naturelle de l'énurésie et par des conseils pratiques sur le comportement. Les données probantes en appui à des interventions particulières sont limitées, et les enfants et les familles devraient participer au choix du traitement approprié. Les dispositifs d'alarme contre l'énurésie et la desmopressine représentent des possibilités thérapeutiques lorsqu'une intervention plus active est souhaitée. Des améliorations cliniques et des traitements combinés sont en voie de se dégager.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".