{"id":"W4361294675","doi":"10.2196/44070","title":"The Association Between Social Determinants of Health and Population Health Outcomes: Ecological Analysis","year":2023,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Loyola Marymount University","keywords":"Social determinants of health; Population; Health equity; Population health; Public health; Census; Environmental health; Geography; Health care; Demography; Economic growth; Medicine; Sociology; Economics","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":[0.00679099,0.0004292204,0.000548469,0.004267586,0.001042732,0.001066457,0.0006437461,0.0003459665,0.001511169],"category_scores_gemma":[0.01020103,0.0002746837,0.002074632,0.004623716,0.001439981,0.0007377987,0.002145017,0.0006647222,0.0001140669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001315888,"about_ca_system_score_gemma":0.00229611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03171694,"about_ca_topic_score_gemma":0.03755097,"domain_scores_codex":[0.9933675,0.004903303,0.0002446142,0.0004450335,0.0007241289,0.0003153379],"domain_scores_gemma":[0.9917509,0.004925575,0.001386179,0.000799986,0.0006877549,0.0004496007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002883919,0.00006716557,0.9933581,0.00006057468,0.0005502526,0.0000463918,0.0002598742,0.0009174827,0.00006473656,0.0005464292,0.0001522608,0.003947835],"study_design_scores_gemma":[0.000004898067,0.0001140653,0.9910448,0.00002639021,0.0001720666,0.00007871678,0.000875099,0.00559264,0.00005835565,0.001375368,0.0006460561,0.00001161347],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866702,0.0005979025,0.008734308,0.0004529826,0.00002237192,0.0001799821,0.00137429,0.00003453688,0.00193346],"genre_scores_gemma":[0.9961695,0.0001244895,0.003132784,0.0000371471,0.0000134086,0.00007907826,0.0003592008,0.000003967303,0.00008037413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03171694,"threshold_uncertainty_score":0.06306463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07698776473418531,"score_gpt":0.4159039542778344,"score_spread":0.3389161895436491,"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."}}