{"id":"W2912245074","doi":"10.21149/9038","title":"Association between ultra-processed food consumption and the nutrient profile of the Colombian diet in 2005","year":2019,"lang":"en","type":"article","venue":"Salud Pública de México","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Food science; Calorie; Food processing; Food consumption; Nutrient; Food intake; Nutrient density; Environmental health; Medicine; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006830993,0.00008680215,0.0002486655,0.00004880811,0.00004843979,0.00002185939,0.00009346096,0.0001002962,0.00011296],"category_scores_gemma":[0.000224585,0.00005351892,0.00005580202,0.0001883079,0.00006730756,0.00004305243,0.00003416396,0.0002250716,0.00001220356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001063673,"about_ca_system_score_gemma":0.00008859552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004900635,"about_ca_topic_score_gemma":0.0001910177,"domain_scores_codex":[0.9990611,0.0000961703,0.0002506787,0.0001543665,0.0002280804,0.0002095739],"domain_scores_gemma":[0.9992132,0.0002933587,0.0001622446,0.0002124933,0.00007062728,0.00004813598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002413403,0.00006524092,0.9944525,0.0001544267,0.0001721773,1.243065e-7,0.0006007911,8.011512e-7,0.003029401,0.0004835163,0.0001957785,0.0006038381],"study_design_scores_gemma":[0.004946016,0.0002283275,0.9839945,0.0002145483,0.0002973511,0.000002431732,0.0001325049,0.0001622153,0.006997114,0.0002689705,0.002676214,0.00007981771],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916253,0.001308711,0.00001320798,0.005184247,0.00006868642,0.0009681289,0.00002567023,0.00001818436,0.0007878317],"genre_scores_gemma":[0.9990767,0.000121626,0.0000455169,0.000195835,0.00004240138,0.00003949632,0.00001039258,0.00001028779,0.0004577797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01045807,"threshold_uncertainty_score":0.2182438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01523529893341325,"score_gpt":0.2574208055029946,"score_spread":0.2421855065695813,"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."}}