PERSPECTIVES INTERNATIONALES Efficacité du gingembre pour calmer les nausées et les vomissements causés par la chimiothérapie chez les patientes atteintes d’un cancer du sein
Bibliographic record
Abstract
La chimiothérapie occasionne des effets secondaires non négligeables et parfois délétères pour les patients, notamment des nausées et des vomissements. Pour minimiser ces effets indésirables, de nombreux patients d'ici se tournent vers la phytothérapie, qui recommande dans ce cas la prise de gingembre. Le présent article a pour but d'évaluer l'efficacité du gingembre pour soulager les nausées et les vomissements des patientes atteintes d'un cancer du sein qui reçoivent de la chimiothérapie. Fondés sur une revue systématique, les résultats de l'étude indiquent que le gingembre serait efficace seulement pour apaiser les nausées - mais pas la fréquence des vomissements - des patientes sous chimiothérapie.
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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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".