{"id":"W4383621635","doi":"10.1016/j.jneb.2023.05.037","title":"Associations Between Food Insecurity, Dietary Intakes, and Health Parameters Among Mexican American and Other Hispanic Adults","year":2023,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"National Health and Nutrition Examination Survey; Environmental health; Medicine; Food insecurity; Food security; Micronutrient; Marital status; Ethnic group; Gerontology; Obesity; Refined grains; Food group; Demography; Food science; Geography; Population; Whole grains; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004140932,0.0002681025,0.0002543816,0.0006101144,0.0004902654,0.000563392,0.0002100338,0.0004136275,0.002255073],"category_scores_gemma":[0.0009982004,0.0002888308,0.0003901703,0.0007658774,0.0002311476,0.0003761342,0.0004095489,0.0005668846,0.0001896096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001755014,"about_ca_system_score_gemma":0.0002173151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.018166,"about_ca_topic_score_gemma":0.02277105,"domain_scores_codex":[0.9998503,0.00003579606,0.00002075325,0.00003426296,0.00002301164,0.00003590111],"domain_scores_gemma":[0.9994119,0.0001064359,0.0002271329,0.00004459189,0.00006331225,0.0001467058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00013525,0.00007284949,0.9989543,0.000004009478,0.00006876116,0.00001787552,0.00006530515,0.00001254302,0.0001183935,0.000008119406,0.00005301703,0.0004897175],"study_design_scores_gemma":[0.000006411034,0.0000499163,0.9994165,0.000002684427,0.00002355613,0.00002891384,0.0003276126,0.0000580324,0.00001554965,0.000009474649,0.00005953349,0.00000176561],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992099,0.0001116094,0.0000168317,0.00003555698,0.000003868722,0.00000307525,0.0003105228,0.000001293669,0.0003074192],"genre_scores_gemma":[0.9993829,0.00007807815,0.00002515136,0.00003622331,0.000007847525,0.000005132295,0.0002398286,8.216582e-7,0.0002241214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.018166,"threshold_uncertainty_score":0.03612053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.193375502030992,"score_gpt":0.4657103669390884,"score_spread":0.2723348649080964,"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."}}