{"id":"W2979801579","doi":"10.1097/adm.0000000000000554","title":"Years of Life Lost due to Opioid Overdose in Ohio: Temporal and Geographic Patterns of Excess Mortality","year":2019,"lang":"en","type":"article","venue":"Journal of Addiction Medicine","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"RPM International (Canada)","funders":"","keywords":"Medicine; Years of potential life lost; Fentanyl; Opioid overdose; Opioid; Drug overdose; Poison control; Excess mortality; Young adult; Injury prevention; Demography; Environmental health; Population; Anesthesia; Gerontology; (+)-Naloxone; Internal medicine; Life expectancy","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":[0.0005523252,0.0001467171,0.0001774875,0.001390257,0.000391979,0.0005891299,0.0003588161,0.0001965337,0.001398026],"category_scores_gemma":[0.001739546,0.0001352058,0.0004340651,0.001819631,0.000200674,0.0006822971,0.00104184,0.0003733755,0.0001277673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006730368,"about_ca_system_score_gemma":0.0005486683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02992265,"about_ca_topic_score_gemma":0.05781354,"domain_scores_codex":[0.9996711,0.00006221155,0.00004960358,0.00007961282,0.00006356719,0.00007395213],"domain_scores_gemma":[0.9985533,0.000126558,0.0008992894,0.00005819989,0.0002201782,0.0001423163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002264854,0.00001045684,0.9974021,0.00001578842,0.00003929671,0.00004181757,0.000162343,0.00008993948,0.00006139285,0.00003006797,0.0001963157,0.001928],"study_design_scores_gemma":[7.545586e-7,0.00001300964,0.9988953,0.00001544376,0.00001073993,0.00006013813,0.0005168597,0.0001591723,0.00001279242,0.00002559358,0.000287479,0.000002708892],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996293,0.0004407003,0.0001778252,0.0001663922,0.000008442797,0.000009558469,0.002205994,0.000005758591,0.0006923324],"genre_scores_gemma":[0.9979006,0.0003138199,0.0001629244,0.00003286856,0.00001093144,0.0000141908,0.001404575,0.000002097641,0.0001580257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02992265,"threshold_uncertainty_score":0.059497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01231798641577818,"score_gpt":0.2806719189369735,"score_spread":0.2683539325211953,"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."}}