{"id":"W4399123011","doi":"10.1001/jamanetworkopen.2024.13698","title":"Government Direct-to-Consumer Education to Reduce Prescription Opioid Use","year":2024,"lang":"en","type":"article","venue":"JAMA Network Open","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Agency for Drugs and Technologies in Health; Université de Montréal; Centre Intégré de Santé et Services Sociaux de la Gaspésie; Institut Universitaire de Gériatrie de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Medical prescription; Discontinuation; Randomized controlled trial; Opioid; Pharmacy; Intervention (counseling); Family medicine; Psychiatry; Internal medicine; Nursing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001287422,0.0003936842,0.0004511313,0.0004531075,0.0004754887,0.000579218,0.0006842831,0.001290396,0.006890959],"category_scores_gemma":[0.004366594,0.0001892675,0.0008251306,0.0004705184,0.0005431162,0.0002516948,0.0005011965,0.001193336,0.0002847956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003309306,"about_ca_system_score_gemma":0.008057208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07606001,"about_ca_topic_score_gemma":0.1172256,"domain_scores_codex":[0.9988991,0.0005783392,0.00005057015,0.00009794607,0.0001991531,0.0001748929],"domain_scores_gemma":[0.9987088,0.0003304978,0.0003380089,0.00004045651,0.0001462318,0.0004360545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.2027273,0.1050009,0.09726086,0.01066408,0.003937712,0.0002448359,0.001066153,0.003025153,0.003475295,0.0008184663,0.01693202,0.5548472],"study_design_scores_gemma":[0.3142408,0.133688,0.5168574,0.004255349,0.004924888,0.00023208,0.0008341193,0.005084469,0.002867888,0.0006015434,0.01633776,0.00007570853],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980926,0.004359691,0.0003392468,0.003311624,0.0003618851,0.003412354,0.0006856762,0.0001036014,0.00649997],"genre_scores_gemma":[0.9939632,0.00138667,0.001406384,0.000849502,0.0001167581,0.000850298,0.0002121348,0.000003922268,0.001211101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07606001,"threshold_uncertainty_score":0.1512346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02258070895182289,"score_gpt":0.3122291188403297,"score_spread":0.2896484098885068,"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."}}