{"id":"W3202968177","doi":"10.1016/j.jad.2021.09.059","title":"Comparing mortality from covid-19 to mortality due to overdose: A micromort analysis","year":2021,"lang":"en","type":"article","venue":"Journal of Affective Disorders","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Western Hospital; University of Toronto; Queen's University; University Health Network","funders":"","keywords":"Medicine; Population; Drug overdose; Mortality rate; Demography; Public health; Pandemic; Coronavirus disease 2019 (COVID-19); Poison control; Environmental health; Disease; Infectious disease (medical specialty); Internal medicine","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":[0.01367892,0.001289143,0.002399883,0.002291708,0.0006442714,0.001733104,0.002298403,0.00134654,0.008026412],"category_scores_gemma":[0.01809735,0.000861011,0.01206831,0.001845045,0.0007742738,0.002116524,0.002559567,0.002899979,0.0004263245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001141659,"about_ca_system_score_gemma":0.001209428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007463681,"about_ca_topic_score_gemma":0.006559267,"domain_scores_codex":[0.9856477,0.0085699,0.001075907,0.002179113,0.001144578,0.00138282],"domain_scores_gemma":[0.9842184,0.009831235,0.002402493,0.002128887,0.0006296813,0.0007891894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04207058,0.0009730312,0.8344388,0.000787252,0.09119279,0.0005637402,0.0003381493,0.007270161,0.001062846,0.001983219,0.004395328,0.01492411],"study_design_scores_gemma":[0.002683552,0.01962907,0.8936362,0.0002480046,0.03411106,0.001274477,0.003050964,0.03461454,0.001533394,0.003800781,0.005175048,0.0002428504],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879023,0.001310838,0.004285626,0.0002650387,0.0001632053,0.0002131944,0.004617549,0.00006077328,0.001181269],"genre_scores_gemma":[0.9920122,0.0003188924,0.001814503,0.000251856,0.0001364458,0.0002884117,0.003743627,0.00005869153,0.001375393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01367892,"threshold_uncertainty_score":0.07234192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07734613540793815,"score_gpt":0.4332499453625365,"score_spread":0.3559038099545983,"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."}}