{"id":"W2971934297","doi":"10.1377/hlthaff.2019.00103","title":"Prescription Drug Monitoring Program Mandates: Impact On Opioid Prescribing And Related Hospital Use","year":2019,"lang":"en","type":"article","venue":"Health Affairs","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Drug Abuse","keywords":"Medicaid; Medicine; Medical prescription; Emergency department; Quarter (Canadian coin); Emergency medicine; Prescription drug; Opioid; Controlled substance; Medical emergency; Block grant; Family medicine; Health care; Psychiatry; Nursing; Internal medicine","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":[0.003328166,0.0001329532,0.0002144597,0.0005882796,0.0005903904,0.00126273,0.0007250862,0.0006620041,0.002779198],"category_scores_gemma":[0.01672704,0.0002184432,0.0006675129,0.0009692573,0.0004092248,0.0009275387,0.00140792,0.00158956,0.0001399082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003127357,"about_ca_system_score_gemma":0.005935608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07620794,"about_ca_topic_score_gemma":0.1639463,"domain_scores_codex":[0.9965004,0.00160804,0.000181138,0.0002815019,0.0006508069,0.0007781002],"domain_scores_gemma":[0.9875216,0.003667578,0.005437372,0.0003375267,0.0008793686,0.002156516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002695052,0.0005524261,0.9677498,0.00004566397,0.0001856029,0.000102041,0.0002032302,0.0009662168,0.0002780892,0.001609394,0.005325299,0.02271268],"study_design_scores_gemma":[0.00001589114,0.00009942616,0.9957564,0.00003636471,0.00006397392,0.00004425634,0.0002533115,0.001060733,0.0001803106,0.0001836454,0.002298927,0.000006634859],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773745,0.0006828487,0.0004879351,0.01038425,0.00007008206,0.00005941205,0.002123744,0.00004916094,0.00876784],"genre_scores_gemma":[0.9967377,0.0001890586,0.0002559352,0.001429072,0.00005154138,0.00003226276,0.0005329138,0.000005797581,0.0007656907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07620794,"threshold_uncertainty_score":0.1515287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01340896192397794,"score_gpt":0.3063500614694588,"score_spread":0.2929410995454809,"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."}}