{"id":"W2589462389","doi":"10.18553/jmcp.2017.23.3.337","title":"Effect of Medicaid Policy Changes on Medication Adherence: Differences by Baseline Adherence","year":2017,"lang":"en","type":"article","venue":"Journal of Managed Care & Specialty Pharmacy","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of North Carolina at Chapel Hill; Gillings School of Public Health; AcademyHealth; Robert Wood Johnson Foundation","keywords":"Medicaid; Medical prescription; Copayment; Medicine; Baseline (sea); Population; Quarter (Canadian coin); Prescription drug; Medication adherence; Family medicine; Demography; Health insurance; Environmental health; Internal medicine; Health care; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001567226,0.0002889382,0.0008312537,0.0002996673,0.0002536207,0.00005336179,0.001003582,0.00009345373,0.002008132],"category_scores_gemma":[0.002457706,0.0002064412,0.0002126546,0.000196003,0.0003660122,0.0001470207,0.00008458379,0.0006950416,0.0001163444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001486573,"about_ca_system_score_gemma":0.0004773182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001796741,"about_ca_topic_score_gemma":0.0000316771,"domain_scores_codex":[0.9967538,0.0003425428,0.0007853681,0.000296066,0.001507595,0.0003146646],"domain_scores_gemma":[0.9958852,0.0003743468,0.002044958,0.0006945738,0.0005212679,0.0004796616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001926415,0.0002787908,0.02479776,0.0009352308,0.0002319558,0.0001139599,0.0007021364,6.76351e-7,0.008711277,0.0001719009,0.07431973,0.8878102],"study_design_scores_gemma":[0.04552944,0.02667596,0.1934508,0.01161479,0.002578396,0.0004212149,0.002768571,0.0004715697,0.2967996,0.0005921594,0.4176605,0.001437021],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9339339,0.004084832,0.0004765663,0.02567207,0.002551129,0.001124062,0.00007032034,0.00004406997,0.03204311],"genre_scores_gemma":[0.989317,0.004973724,0.0001090299,0.001077225,0.002858616,0.00002550004,0.00002050441,0.00002152,0.001596909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8863732,"threshold_uncertainty_score":0.9989042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04186192092227516,"score_gpt":0.3965196124528042,"score_spread":0.3546576915305291,"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."}}