{"id":"W3009808072","doi":"10.1017/s1368980019004439","title":"Nutrition status in adult Chilean population: economic, ethnic and sex inequalities in a post-transitional country","year":2020,"lang":"en","type":"article","venue":"Public Health Nutrition","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Underweight; Demography; Ethnic group; Socioeconomic status; Medicine; Population; Malnutrition; Obesity; Overweight; Endocrinology; Internal medicine; Sociology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004945729,0.0002186268,0.0004075585,0.0004859272,0.0001478672,0.0001574448,0.00009750735,0.0001715441,0.00009948664],"category_scores_gemma":[0.00008621625,0.0002689085,0.00005142137,0.000449617,0.00005683532,0.001057194,0.00002544232,0.0004078044,0.00001172557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006854957,"about_ca_system_score_gemma":0.0001037873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003814561,"about_ca_topic_score_gemma":0.003907593,"domain_scores_codex":[0.997317,0.0004464439,0.0008554252,0.0004940275,0.0002520769,0.0006350974],"domain_scores_gemma":[0.999116,0.0001010134,0.0001584194,0.000124843,0.00008114637,0.0004185757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007440063,0.01455004,0.6419371,0.03485028,0.0001133686,0.00009613821,0.1009504,0.0001891566,0.0006457875,0.04891066,0.02811005,0.122207],"study_design_scores_gemma":[0.0259384,0.001016783,0.9158846,0.001377312,0.00001211499,0.00007535873,0.007502653,0.006053224,0.0001827041,0.007484874,0.03346498,0.001007046],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7864561,0.00127959,0.00005164104,0.2098484,0.0002335887,0.001170284,0.0007226827,0.0001341642,0.0001035642],"genre_scores_gemma":[0.9714875,0.001530778,0.0002706246,0.02150093,0.0006500428,0.0002017817,0.004325743,0.0000307998,0.000001864248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2739474,"threshold_uncertainty_score":0.9999763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04409701700804551,"score_gpt":0.311805118260468,"score_spread":0.2677081012524224,"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."}}