{"id":"W3160765434","doi":"10.1016/j.aap.2021.106195","title":"Impact of COVID-19 on motor vehicle injuries and fatalities in older adults in Ontario, Canada","year":2021,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Older Adults Driving Studies","field":"Health Professions","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Addiction and Mental Health; Western University; Baycrest Hospital; Ministry of Transportation of Ontario; Institute of Population and Public Health; University of Toronto; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research; National Institutes of Health; University of Toronto; Consortium canadien en neurodégénérescence associée au vieillissement; Pfizer; Fondation Brain Canada; Centre for Addiction and Mental Health Foundation; Ministère des Transports; Patient-Centered Outcomes Research Institute; Eli Lilly and Company","keywords":"Injury prevention; Demography; Poison control; Occupational safety and health; Coronavirus disease 2019 (COVID-19); Medicine; Suicide prevention; Pandemic; Christian ministry; Human factors and ergonomics; Cohort; Young adult; Cohort study; Gerontology; Environmental health; Disease","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":[0.001374339,0.0004572509,0.0008055926,0.002006674,0.004343887,0.00201579,0.001393333,0.0007646194,0.002863239],"category_scores_gemma":[0.004785417,0.0005085871,0.001731857,0.004974708,0.0007575456,0.0008317335,0.002157735,0.001283026,0.0003640963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04320313,"about_ca_system_score_gemma":0.07921429,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9982121,"about_ca_topic_score_gemma":0.9992862,"domain_scores_codex":[0.9977154,0.0001698712,0.0002507978,0.0001865339,0.0007858272,0.0008916201],"domain_scores_gemma":[0.9939761,0.00017091,0.0008687899,0.000124244,0.003260248,0.001599734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008668298,0.00005698949,0.9919875,0.00008373358,0.0001165612,0.00005364783,0.001041553,0.00007792155,0.00004187695,0.0001157594,0.002753509,0.003584244],"study_design_scores_gemma":[0.000006810753,0.00001847059,0.9969949,0.00007882305,0.00003561969,0.00001423441,0.001649731,0.00005449197,0.00001184586,0.00001111559,0.001116743,0.000007187561],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97082,0.002750315,0.0001055297,0.00170742,0.0001188053,0.0001399633,0.01626434,0.00001966531,0.00807401],"genre_scores_gemma":[0.9868881,0.002120626,0.0002009279,0.0004278224,0.0000394085,0.00007842506,0.005005189,0.00001266828,0.005226942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04320313,"threshold_uncertainty_score":0.3134621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02609212980329717,"score_gpt":0.385320641881869,"score_spread":0.3592285120785718,"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."}}