{"id":"W4391693153","doi":"10.1136/bmj.q310","title":"Opioid dispensations: safer supply or diverted supply?","year":2024,"lang":"en","type":"letter","venue":"BMJ","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"SAFER; Opioid; Supply chain; Medicine; Business; Computer science; Computer security; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.005588464,0.0005688455,0.00120585,0.001331025,0.007421256,0.006610303,0.00195208,0.09681349,0.04360668],"category_scores_gemma":[0.04059237,0.0009457348,0.0009941473,0.001334252,0.005092302,0.008247268,0.003567447,0.04321765,0.01011184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00718502,"about_ca_system_score_gemma":0.0129479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02666797,"about_ca_topic_score_gemma":0.04913349,"domain_scores_codex":[0.9933395,0.002002755,0.000858374,0.0005287048,0.001661635,0.001609096],"domain_scores_gemma":[0.9771299,0.01006003,0.00211789,0.0004520702,0.002971158,0.007269061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001037569,0.00007264205,0.00209182,0.0001057318,0.00001901251,0.003825658,0.0005163566,0.00004318404,0.0002530937,0.01140908,0.9734201,0.008139544],"study_design_scores_gemma":[0.0004189689,0.0001281031,0.005555354,0.001230405,0.00004652255,0.005138224,0.003240295,0.0007652987,0.0002107056,0.02802593,0.9551053,0.0001348832],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005698377,0.0003640354,0.00003406206,0.9901353,0.003283082,0.000006872814,0.00003845302,0.000007910069,0.005560501],"genre_scores_gemma":[0.006544359,0.0007443427,0.0001778738,0.9555487,0.01976245,0.00003255477,0.00002655989,0.00002905966,0.01713411],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.09681349,"threshold_uncertainty_score":0.1458789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02827155761522299,"score_gpt":0.3127497766836565,"score_spread":0.2844782190684335,"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."}}