{"id":"W2946754917","doi":"10.1016/j.ssmph.2019.100409","title":"Free trade and opioid overdose death in the United States","year":2019,"lang":"en","type":"article","venue":"SSM - Population Health","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Drug Abuse; National Institute of Allergy and Infectious Diseases; Centers for Disease Control and Prevention; American Society of Addiction Medicine; International Society of Addiction Medicine","keywords":"Fentanyl; Opioid overdose; Heroin; Opioid; Medicine; Socioeconomic status; Medical prescription; Demography; Environmental health; Anesthesia; Population; Internal medicine; Psychiatry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002146633,0.0001022197,0.0001853456,0.0001419174,0.00005303929,0.00001327205,0.00005138284,0.00004169729,0.00003452921],"category_scores_gemma":[0.00002408553,0.00007063087,0.0000224082,0.0002399101,0.000009271029,0.00005423787,0.00001352416,0.000124775,0.000009565728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001310545,"about_ca_system_score_gemma":0.00007444811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006526785,"about_ca_topic_score_gemma":0.0002426758,"domain_scores_codex":[0.9990811,0.00009946931,0.0002369256,0.0001750749,0.0002006515,0.0002067753],"domain_scores_gemma":[0.9994547,0.00006341324,0.00007098752,0.0003246863,0.000009768023,0.00007647168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004789427,0.0001637654,0.9857032,0.0001707927,0.000009922755,0.000002991623,0.008643126,0.00007150056,0.000002969086,0.003199325,0.0006273584,0.001357197],"study_design_scores_gemma":[0.001895218,0.0003222505,0.9902338,0.00007524202,0.00001130567,0.000007924176,0.001716786,0.001486737,0.000002665997,0.002161335,0.002027254,0.00005942036],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871095,0.000668256,0.000009538192,0.01100913,0.00006599041,0.0009511302,0.00002543459,0.00003389705,0.000127152],"genre_scores_gemma":[0.9928435,0.0004815692,0.000273283,0.005322228,0.00002842142,0.00001718344,0.0009471427,0.00001438348,0.00007225139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00692634,"threshold_uncertainty_score":0.986659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0256540625605606,"score_gpt":0.3265552867692562,"score_spread":0.3009012242086956,"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."}}