Instrument de mesure de la nausée chez l’enfant : traduction française et validité des visages pour les patients canadiens francophones en oncopédiatrie
Bibliographic record
Abstract
Les nausées et les vomissements induits par la chimiothérapie (NVIC) nuisent à la qualité de vie tant des adultes que des patients pédiatriques atteints d’un cancer (Dupuis, Milne-Wren, Cassidy et al., 2010; Farrell, Brearley, Pilling et Molassiotic, 2013; Russo, Cinausero, Gerratana et al., 2014; Hinds, Gattuso, Billups et al., 2009; Sommariva, Pongiglione, et Tarricone, 2016). Les vomissements et les haut-le-cœur sont des symptômes qui s’évaluent objectivement, alors que la nausée est subjective et plus difficile à mesurer. En général, l’intensité de la nausée chez les adultes peut être décrite à l’aide d’échelles d’évaluation visuelle analogique ou qualitative. Il existe à cette fin des instruments validés et recommandés par des spécialistes du domaine, comme celui de la Multinational Association of Supportive Care in Cancer (en ligne : www.mascc.org) (Hesketh, Gralla, du Bois et Tonato, 2016).
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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 | 0.032 | 0.050 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".