{"id":"W4241913576","doi":"10.7202/1048946ar","title":"Actualités en nutrition","year":2018,"lang":"fr","type":"article","venue":"Nutrition, science en évolution","topic":"Nutrition, Health, and Society Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.002734174,0.0003904432,0.0004104495,0.0001221486,0.003970074,0.0003115213,0.0007236552,0.0005312536,0.001147145],"category_scores_gemma":[0.0005804388,0.0002519453,0.000262878,0.003062328,0.004678617,0.00185214,0.0001574021,0.0004020592,0.0008613548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001154014,"about_ca_system_score_gemma":0.0002015848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001537218,"about_ca_topic_score_gemma":0.001136704,"domain_scores_codex":[0.9952058,0.0005810678,0.0006708638,0.001074095,0.001138355,0.001329776],"domain_scores_gemma":[0.9971195,0.0005272222,0.0002330098,0.0002106789,0.001459395,0.0004501551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003128997,0.01017241,0.01026633,0.001727507,0.00009285069,0.00001540627,0.01529984,0.000003270939,0.2886945,0.1348109,0.452089,0.08651514],"study_design_scores_gemma":[0.001785954,0.00240473,0.2086892,0.001407507,0.00008984099,0.0001093005,0.01508418,0.0006539254,0.01043359,0.05185289,0.7064633,0.001025615],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.852808,0.01681844,0.0004944592,0.1149896,0.008067785,0.001863937,0.0004537512,0.0003641159,0.004139898],"genre_scores_gemma":[0.9494643,0.02625955,0.002765056,0.001197718,0.01602083,0.0002070397,0.0001546969,0.00000654111,0.003924227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2782609,"threshold_uncertainty_score":0.9999933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02723566935077309,"score_gpt":0.2953009860548791,"score_spread":0.268065316704106,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}