{"id":"W4393948897","doi":"10.3390/ijerph21040442","title":"A Dynamic Model of Opioid Overdose Deaths in Canada during the Co-Occurring Opioid Overdose Crisis and COVID-19 Pandemic","year":2024,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Public Health Agency of Canada; University of Saskatchewan","funders":"Public Health Agency; Public Health Agency of Canada; University of Saskatchewan","keywords":"Opioid overdose; Fentanyl; Opioid; Medicine; Pandemic; Drug overdose; Context (archaeology); Medical prescription; Public health; Heroin; Psychological intervention; Medical emergency; Coronavirus disease 2019 (COVID-19); Intensive care medicine; Poison control; Psychiatry; Anesthesia; Drug; Pharmacology; Geography; (+)-Naloxone; Infectious disease (medical specialty); Internal medicine; Nursing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007120567,0.0009518951,0.0009694974,0.0009618078,0.001583579,0.002471932,0.002309261,0.00313542,0.01006696],"category_scores_gemma":[0.003273037,0.0006030063,0.001191599,0.001171781,0.001729775,0.0008686259,0.001702052,0.001969072,0.0005803437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01470157,"about_ca_system_score_gemma":0.01454158,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8420643,"about_ca_topic_score_gemma":0.6949172,"domain_scores_codex":[0.9995824,0.0000817785,0.00001572838,0.00006788248,0.0000716584,0.0001806488],"domain_scores_gemma":[0.9985937,0.0005359186,0.0001676289,0.00002370854,0.000470657,0.0002083237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003924816,0.00001916421,0.001912191,0.00002623938,0.00001366122,0.0001369138,0.00007068631,0.9844918,0.0001219452,0.01091436,0.00147795,0.0007759442],"study_design_scores_gemma":[0.00004698239,0.00002207753,0.001010606,0.00002655632,0.00002247131,0.00002431232,0.0001855109,0.9936959,0.00004060423,0.002530753,0.002369034,0.00002525026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6115246,0.00295149,0.1108062,0.01802741,0.0007058026,0.0006539483,0.0257051,0.0007283361,0.2288971],"genre_scores_gemma":[0.9477918,0.001066026,0.008754361,0.0006732399,0.00006758668,0.0002775765,0.002949011,0.00006643816,0.03835396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1579357,"threshold_uncertainty_score":0.3177316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05267996390971141,"score_gpt":0.3933257188044731,"score_spread":0.3406457548947617,"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."}}