{"id":"W7095377235","doi":"","title":"RESEARCH ARTICLE Open Access Income adequacy and education associated with the prevalence of obesity in rural","year":2016,"lang":"en","type":"article","venue":"","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Obesity; Socioeconomic status; Logistic regression; Body mass index; Rural area; Household income; Rural health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006826961,0.0001727648,0.0002209299,0.0009071844,0.0004889234,0.0007914301,0.000435033,0.000267836,0.01377997],"category_scores_gemma":[0.00377372,0.0001129979,0.0003249599,0.001131352,0.0004055341,0.0002794274,0.0006295881,0.0004415757,0.0009063485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005266003,"about_ca_system_score_gemma":0.001565254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09743738,"about_ca_topic_score_gemma":0.07512985,"domain_scores_codex":[0.999507,0.0001078812,0.00003055676,0.0000698911,0.0001378858,0.0001468981],"domain_scores_gemma":[0.9975525,0.0003231807,0.001129858,0.00009025903,0.0004400295,0.0004642977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000111206,0.00008867662,0.9889104,0.00004400864,0.00005270025,0.0001867214,0.0002277086,0.00003518966,0.0001210728,0.00009459999,0.0007729956,0.009354697],"study_design_scores_gemma":[0.000005015776,0.00003877217,0.9978836,0.00003783784,0.00002193035,0.0003580129,0.0003938971,0.000114491,0.00002734633,0.00007408189,0.001042014,0.000002956913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928703,0.001147448,0.0002417058,0.0004923061,0.00002991115,0.00001978908,0.0008566612,0.00002064378,0.004321184],"genre_scores_gemma":[0.9971064,0.0005917027,0.0001714002,0.0000569677,0.00002870852,0.000007913297,0.0003729553,0.000006926101,0.001656971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09743738,"threshold_uncertainty_score":0.1937405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1085806515977858,"score_gpt":0.4930823607849881,"score_spread":0.3845017091872023,"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."}}