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Record W4389152669

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

2019· preprint· fr· W4389152669 on OpenAlexaff
François Mariotti, Catherine Atlan, Catherine Bennetau‐Pelissero, Marie‐Christine Boutron‐Ruault, Jean‐Louis Bresson, Olivier Bruyère, Blandine de Lauzon‐Guillain, Anne Galinier, Jean‐François Huneau, Emmanuelle Kesse‐Guyot, Corinne Malpuech‐Brugère, Catherine Michel, Béatrice Morio, Jara Pérez‐Jiménez, Sergio Polakof, Jean‐Marie Renaudin, Anne‐Sophie Rousseau, Luc Tappy, Stéphane Walrand, Isabelle Villena, Jean-Christophe Augustin, Anne Brisabois, Frédéric Carlin, O. Cerf, Pierre Colin, Philippe Dantigny, Florence Dubois‐Brissonnet, Michel Fédérighi, Benoît Foligné, F. Richard-Forget, Philippe Fravalo, Michel Gautier, Laurent Guillier, Nathalie Jourdan‐Da Silva, Alexandre Leclercq, Simon Le Hello, Eric Oswald, Nicole Pavio, Sabine Schorr‐Galindo, Muriel Thomas, Irène Margaritis, Margot Brunias, Pauline Kooh, Peggy Pinard

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2019
Typepreprint
Languagefr
FieldAgricultural and Biological Sciences
TopicNutrition, Health, and Society Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesEnvironmental scienceForestryGeographyArt
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.161
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.045
GPT teacher head0.268
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueHAL (Le Centre pour la Communication Scientifique Directe)Same topicNutrition, Health, and Society StudiesFrench-language works237,207