Avis de l'Anses relatif à l’actualisation des repères alimentaires du PNNS pour les femmes dès la ménopause et les hommes de plus de 65 ans
Bibliographic record
Abstract
Les bases scientifiques nécessaires à l’établissement des repères alimentaires du Programme National Nutrition Santé (PNNS) ont été actualisées par l’Anses en 2016 pour la population générale adulte sur la base des nouvelles références nutritionnelles et des données actuelles de consommation et de composition des aliment (Anses 2016c).Ces repères concernant la population générale, hommes et femmes adultes hors populations particulières, le Directeur général de la santé a saisi l’Anses le 12 juillet 2016 afin que des repères soient également énoncés pour les populations spécifiques que constituent les femmes enceintes et allaitantes, les enfants et adolescents, les personnes âgées et les femmes ménopausées. Le présent avis concerne la population spécifique des femmes dès la ménopause et des hommes de plus de 65 ans.
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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 | 0.005 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.008 | 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".