{"id":"W4379966348","doi":"10.1111/add.16268","title":"Prevalence of opioid dependence in New South Wales, Australia, 2014–16: Indirect estimation from multiple data sources using a Bayesian approach","year":2023,"lang":"en","type":"article","venue":"Addiction","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"National Institute on Drug Abuse; National Health and Medical Research Council; National Institute for Health and Care Research; National Institute for Health Research Health Protection Research Unit; Fonds de Recherche du Québec - Santé; Medical Research Council; Department of Health and Aged Care, Australian Government; NIHR Bristol Biomedical Research Centre","keywords":"Medicine; Opioid; Adverse effect; Demography; Commonwealth; Population; Confidence interval; Cohort; Internal medicine; Emergency medicine; Environmental health; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001916992,0.0001573195,0.0002414679,0.0002455798,0.00004744492,0.00001638994,0.0001769482,0.0001144388,0.0001474296],"category_scores_gemma":[0.0001657414,0.00015358,0.00003963026,0.0004197081,0.00003560575,0.0002793043,0.00009827378,0.0001439063,0.00006149124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001356504,"about_ca_system_score_gemma":0.0001928798,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009133457,"about_ca_topic_score_gemma":0.0002985508,"domain_scores_codex":[0.9985761,0.00006096749,0.0003332605,0.0004734837,0.0003398574,0.0002163538],"domain_scores_gemma":[0.9990095,0.00007551949,0.0001686216,0.0006289636,0.00002814192,0.00008922297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001470513,0.0002570414,0.9734331,0.0003153077,0.0001146715,0.00001027593,0.004748949,0.004131297,0.001856697,0.000003633055,0.0008041097,0.01417786],"study_design_scores_gemma":[0.001480772,0.00008311184,0.7537737,0.0004579811,0.0002959614,0.000006958031,0.0007775109,0.2400577,0.00278939,0.00008786997,0.00005038269,0.0001386529],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855343,0.0007226882,0.01246436,0.00003463046,0.0001181653,0.0006077442,0.0003527013,0.0001222414,0.00004324067],"genre_scores_gemma":[0.9818647,0.0001359132,0.01538849,0.00001206586,0.00007250651,0.00001765674,0.002157221,0.00002275135,0.0003287357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2359264,"threshold_uncertainty_score":0.9974648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0718104218660611,"score_gpt":0.313335529065114,"score_spread":0.2415251071990529,"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."}}