{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001701176,0.0002662075,0.000374546,0.0001518591,0.0001025544,0.00007437758,0.00005235932,0.00009079792,0.00004850664],"category_scores_gemma":[0.00004227809,0.0002093286,0.0000952854,0.0001716628,0.00002931307,0.0002815828,0.00004011867,0.0002948153,0.0001233483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004162002,"about_ca_system_score_gemma":0.0001952519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007149973,"about_ca_topic_score_gemma":0.000003954078,"domain_scores_codex":[0.9982785,0.00006245477,0.0003448189,0.0004652107,0.0003091812,0.0005398573],"domain_scores_gemma":[0.9989479,0.00005309136,0.0001401927,0.0004189172,0.00005545507,0.0003844336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004828365,0.001366081,0.9601718,0.0008927126,0.0001740114,0.00003310819,0.008795505,0.00004780845,0.0001123587,0.0001038481,0.002203883,0.025616],"study_design_scores_gemma":[0.003735499,0.005300269,0.9832957,0.001388514,0.00006326654,0.00002532154,0.003529533,0.0007416249,0.0002990494,0.00005887814,0.001306434,0.0002558521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917186,0.001557582,8.746419e-7,0.001479907,0.0007353722,0.003452308,0.00001690948,0.0003454777,0.0006929015],"genre_scores_gemma":[0.9971135,0.000818223,0.0008168056,0.00004739932,0.00005229053,0.0001286815,0.000104876,0.00005596628,0.0008622672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02536015,"threshold_uncertainty_score":0.8536173,"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."}}