{"id":"W2498777358","doi":"10.1007/s10488-016-0753-2","title":"Medicaid Spending Differences for Child/Youth Community-Based Care in California’s Decentralized Public Mental Health System","year":2016,"lang":"en","type":"article","venue":"Administration and Policy in Mental Health and Mental Health Services Research","topic":"Child Welfare and Adoption","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Mental Health; Partenariat Canadien Contre Le Cancer; U.S. Department of Veterans Affairs","keywords":"Medicaid; Mental health; Per capita; Ethnic group; Mental health care; Public spending; Demographic economics; Public health; Health care; Gerontology; Demography; Environmental health; Business; Economic growth; Medicine; Economics; Political science; Psychiatry; Sociology; Nursing; Population","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001491607,0.0001783971,0.0004683069,0.001131927,0.001364616,0.002111708,0.001094992,0.0007048945,0.006184485],"category_scores_gemma":[0.005413695,0.0004001815,0.0008756391,0.001896733,0.0007565792,0.001151661,0.001893403,0.001393403,0.0002149853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008396637,"about_ca_system_score_gemma":0.006080758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4443983,"about_ca_topic_score_gemma":0.7081686,"domain_scores_codex":[0.9978389,0.0005085074,0.0001226038,0.0001994259,0.000321156,0.00100936],"domain_scores_gemma":[0.994358,0.001127056,0.001688825,0.0002243608,0.0007946473,0.001807058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007891328,0.0005772833,0.9762719,0.00003033919,0.0002644209,0.0001147688,0.001125181,0.002274286,0.0003640326,0.004593696,0.00668904,0.006905939],"study_design_scores_gemma":[0.00003314045,0.00004772612,0.9968659,0.00001737611,0.00004922632,0.0000187985,0.001357943,0.000692159,0.0000729052,0.000165948,0.0006719904,0.000006745565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948984,0.00009021975,0.00002776139,0.0007993747,0.000009288513,0.00001637394,0.001440973,0.000006778889,0.002710867],"genre_scores_gemma":[0.9966676,0.00005313567,0.00005337967,0.0002651273,0.00001557478,0.00001900396,0.001580637,0.000007272242,0.001338358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4443983,"threshold_uncertainty_score":0.8836233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09054919003639116,"score_gpt":0.4651243284675941,"score_spread":0.3745751384312029,"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."}}