{"id":"W4385520808","doi":"10.1186/s12889-023-16414-z","title":"An interrupted time series analysis of trends in opioid-related emergency department visits from pre-COVID-19 pandemic to pandemic, from the Canadian Hospitals Injury Reporting and Prevention Program","year":2023,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Medicine; Pandemic; Emergency department; Interrupted Time Series Analysis; Heroin; Biostatistics; Coronavirus disease 2019 (COVID-19); Epidemiology; Young adult; Emergency medicine; Injury prevention; Public health; Poison control; Demography; Pediatrics; Medical emergency; Gerontology; Psychiatry; Internal medicine; Infectious disease (medical specialty); Nursing","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002430974,0.0003966271,0.0004423768,0.001767708,0.0004449433,0.0008322519,0.0008384958,0.0003375032,0.001851081],"category_scores_gemma":[0.010053,0.0001727803,0.0008944405,0.003970599,0.000369878,0.0003758748,0.0004176717,0.000799282,0.000141359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003370754,"about_ca_system_score_gemma":0.004026695,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5998295,"about_ca_topic_score_gemma":0.3647422,"domain_scores_codex":[0.9985524,0.0002904023,0.0001465818,0.0002725513,0.0003905882,0.000347519],"domain_scores_gemma":[0.9954509,0.001294924,0.001222463,0.0002854182,0.001277825,0.0004684637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006579728,0.00007974149,0.9849636,0.00009936794,0.0004079742,0.0001482576,0.0004314346,0.003815978,0.0002263842,0.0003755908,0.001330457,0.007463292],"study_design_scores_gemma":[0.00001564638,0.0001607009,0.9868167,0.00002206834,0.0001114813,0.00005611108,0.000451908,0.01124043,0.00008618099,0.00006029735,0.0009649931,0.00001343348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886478,0.0002732306,0.001187872,0.0001293847,0.00002302381,0.00006792587,0.008814775,0.00002998916,0.0008260645],"genre_scores_gemma":[0.989477,0.0001611657,0.0009207905,0.00003140537,0.00001542335,0.00008313602,0.00883262,0.000008060697,0.0004702505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4001705,"threshold_uncertainty_score":0.8050544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06030559100303758,"score_gpt":0.4114623227259781,"score_spread":0.3511567317229405,"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."}}