{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004700327,0.0001607369,0.0005172544,0.0004187124,0.000161416,0.00001175843,0.00009856174,0.00008695215,0.001005299],"category_scores_gemma":[0.0005490757,0.0001494165,0.000164779,0.0007430901,0.00002901633,0.000180014,0.0001512967,0.0003147104,0.000002517105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00177902,"about_ca_system_score_gemma":0.001900311,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9886129,"about_ca_topic_score_gemma":0.9999583,"domain_scores_codex":[0.9977394,0.0005639984,0.0007242717,0.0003459215,0.0003129746,0.0003133765],"domain_scores_gemma":[0.9987804,0.0004040356,0.0002882174,0.0002970906,0.0001341235,0.0000961824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005939568,0.000127674,0.9884433,0.00004380238,0.0004059153,0.00001283508,0.0100062,0.0001649284,0.00002710172,0.00002259379,0.0004665625,0.0002196458],"study_design_scores_gemma":[0.001129254,0.00005652204,0.9900278,0.0003833128,0.0001974286,1.83592e-7,0.007637695,0.00007269839,0.00003185052,0.0003073671,0.0000319891,0.0001238529],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986705,0.0002560641,0.00002529161,0.0004629105,0.00007722898,0.0003775865,0.000005076767,0.00001249561,0.0001129092],"genre_scores_gemma":[0.9972911,0.00008351023,0.00003063446,0.0001266282,0.00001724063,0.00007907883,0.00009318197,0.000009559127,0.002268995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01134537,"threshold_uncertainty_score":0.9999079,"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."}}