{"id":"W2897002023","doi":"10.1016/j.jneb.2018.08.005","title":"Predictors of Food Insecurity in Selected Chicago Community Areas","year":2018,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Acculturation; Socioeconomic status; Odds; Logistic regression; Food security; Ethnic group; Demography; Environmental health; Gerontology; Odds ratio; Psychology; Population; Medicine; Geography; Sociology","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":[0.0003853209,0.0003325764,0.000224878,0.001191756,0.001236158,0.001202807,0.0004748529,0.0006643634,0.002440672],"category_scores_gemma":[0.00135919,0.0003474785,0.000311028,0.00138255,0.0007283946,0.0004665767,0.0008653038,0.0008650458,0.000230398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005726019,"about_ca_system_score_gemma":0.0008880651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05633893,"about_ca_topic_score_gemma":0.1012938,"domain_scores_codex":[0.9996653,0.00009008692,0.00003057008,0.0000586789,0.00005337794,0.0001019928],"domain_scores_gemma":[0.9983694,0.0002398264,0.0003659511,0.00006665965,0.0002186849,0.0007395786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003673682,0.00005101973,0.9994298,0.000001355442,0.00001062572,0.00002030594,0.0001001769,0.00001664395,0.00004482673,0.000007612034,0.00006060171,0.0002201988],"study_design_scores_gemma":[0.00000284922,0.00003807941,0.9983122,0.000003787834,0.000007342228,0.00003240018,0.001353128,0.0001443471,0.00002444104,0.00001855352,0.00006035041,0.000002536683],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995889,0.00002838839,0.00001533106,0.0000346157,0.000003314752,0.000003725377,0.0001070564,0.000001234218,0.0002174311],"genre_scores_gemma":[0.9996629,0.00002330295,0.00001777013,0.00001401272,0.000005014011,0.000005835817,0.000147392,0.000001066576,0.0001227917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05633893,"threshold_uncertainty_score":0.112022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1161726583094491,"score_gpt":0.4445711281353758,"score_spread":0.3283984698259267,"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."}}