{"id":"W6887779845","doi":"10.17615/yybe-nt44","title":"State-Level Trends in the Relationship between Opioid Pain Relievers and Medication Assisted Treatment: A Quantitative Analysis of Quarterly Medicaid Prescription Data for the 50 U.S. States and Washington, D.C. from 2010 Quarter 1 to 2019 Quarter 3","year":2020,"lang":"en","type":"article","venue":"UNC Libraries","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicaid; Medical prescription; Quarter (Canadian coin); Ordinary least squares; Population; Pharmacoepidemiology; Regression analysis; Limiting","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001633944,0.0001714353,0.0002112868,0.003254525,0.0003084777,0.000626504,0.000338123,0.0002546415,0.001147949],"category_scores_gemma":[0.005481642,0.0001868538,0.0005203461,0.004575028,0.0002670206,0.0006026217,0.0005895492,0.0004383349,0.0001982262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001045859,"about_ca_system_score_gemma":0.001035423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.071387,"about_ca_topic_score_gemma":0.09137955,"domain_scores_codex":[0.9991485,0.000221501,0.0001327732,0.0001578415,0.0002432929,0.00009606589],"domain_scores_gemma":[0.9931206,0.002429197,0.002885252,0.0002955777,0.001011841,0.0002576039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000362506,0.00003808839,0.9959714,0.00002195466,0.0000782721,0.00001685145,0.0001762998,0.0002944117,0.0001541208,0.00005825338,0.0007275356,0.002426469],"study_design_scores_gemma":[0.000001554175,0.00002945114,0.9977115,0.000008912735,0.0000170938,0.00003137819,0.0004187245,0.001154368,0.0000843443,0.00001852355,0.0005191686,0.000004927857],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874484,0.0001286968,0.0002565362,0.0001375144,0.000005647908,0.00001589521,0.01142961,0.00002592523,0.0005516764],"genre_scores_gemma":[0.9880166,0.0001146004,0.0005990682,0.00003854036,0.00001048583,0.00004530428,0.01088789,0.000007999144,0.000279543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.071387,"threshold_uncertainty_score":0.141943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09688154342847093,"score_gpt":0.3136507299117736,"score_spread":0.2167691864833026,"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."}}