{"id":"W4389981847","doi":"10.1093/haschl/qxad074","title":"Comparison of social determinants of health in Medicaid vs commercial health plans","year":2023,"lang":"en","type":"article","venue":"Health Affairs Scholar","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Arnold Ventures","keywords":"Medicaid; Business; Social determinants of health; Environmental health; Medicine; Health care; Nursing; Economics; Public health; Economic growth","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","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0113588,0.0003015045,0.002200083,0.00089936,0.002929704,0.0000079624,0.0004971509,0.0004355854,0.0002486693],"category_scores_gemma":[0.0006547092,0.0003270076,0.0001495177,0.001731611,0.0002136153,0.0002497739,0.0002533508,0.002492724,0.0002294961],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008297428,"about_ca_system_score_gemma":0.006006422,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01019364,"about_ca_topic_score_gemma":0.03342606,"domain_scores_codex":[0.9880174,0.004193186,0.004488864,0.0005139944,0.0008658304,0.001920749],"domain_scores_gemma":[0.9950874,0.0006847275,0.002838459,0.0004901808,0.0002055588,0.0006936996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000318035,0.0006253903,0.7424983,0.008644946,0.00001811779,0.000002894762,0.1261623,0.0000241866,0.000003232934,0.004814623,0.09904336,0.01784458],"study_design_scores_gemma":[0.002838396,0.001192563,0.878946,0.001763827,0.000006210269,0.000001101663,0.05253831,0.0005098889,0.000005832042,0.0005306461,0.06142352,0.0002437307],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8398871,0.002035214,0.00007162591,0.1473906,0.002778709,0.004248745,0.001977474,0.0003611269,0.001249389],"genre_scores_gemma":[0.9928871,0.000825679,0.0005879286,0.004826714,0.0002327763,0.0001093415,0.0004064046,0.00005164721,0.00007239189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.153,"threshold_uncertainty_score":0.9999182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.301297359935643,"score_gpt":0.5537688428460353,"score_spread":0.2524714829103923,"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."}}