{"id":"W1591593808","doi":"","title":"Insurance coverage and the treatment of mental illness: effect on medication and provider use.","year":2008,"lang":"en","type":"article","venue":"PubMed","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mental Health Commission of Canada","funders":"","keywords":"Mental health; Medical prescription; Mental illness; Medicine; Mood; Anxiety; Psychiatry; Family medicine; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002008964,0.000437758,0.0005005804,0.001778434,0.001395177,0.001860838,0.001898735,0.001296323,0.008034962],"category_scores_gemma":[0.01084686,0.0003466303,0.002358755,0.003454807,0.001270402,0.0006537436,0.001899734,0.001957736,0.0005094651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007899238,"about_ca_system_score_gemma":0.01182973,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8799464,"about_ca_topic_score_gemma":0.8545867,"domain_scores_codex":[0.9970723,0.000651245,0.0001877008,0.0003628114,0.0008305326,0.0008953749],"domain_scores_gemma":[0.9870327,0.00271588,0.005457907,0.0003891571,0.0009497473,0.003454552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001142378,0.00006973914,0.9966625,0.00001694868,0.0001908841,0.00004102033,0.0001053409,0.0001339338,0.00002231343,0.0000768837,0.0004852749,0.002080922],"study_design_scores_gemma":[0.000004575426,0.00003495949,0.9986958,0.0000300985,0.00007207583,0.00004418396,0.0001787922,0.0005095356,0.00001433444,0.00003560636,0.0003751482,0.000004979872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787266,0.004841094,0.000248221,0.002686705,0.00005477449,0.00007674072,0.008821034,0.00004335871,0.00450153],"genre_scores_gemma":[0.9963272,0.0006169133,0.0001485628,0.0001137332,0.00002549917,0.0000212624,0.001646374,0.000008628929,0.00109172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8799464,"threshold_uncertainty_score":0.2415213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02864554310264504,"score_gpt":0.2095073894293117,"score_spread":0.1808618463266666,"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."}}