{"id":"W4388782271","doi":"10.1016/j.trf.2023.11.011","title":"The impact of COVID-19 on transportation-related and risky driving behaviors in Canada","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Traffic and Road Safety","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Traffic Injury Research Foundation","funders":"International Research Foundation for English Language Education","keywords":"Pandemic; Injury prevention; Suicide prevention; Poison control; Human factors and ergonomics; Coronavirus disease 2019 (COVID-19); Occupational safety and health; Psychology; Environmental health; Pedestrian; Public health; Applied psychology; Transport engineering; Medicine; Engineering","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":[0.001477651,0.0004043548,0.0005699894,0.001605816,0.00504231,0.002546769,0.002064154,0.001034283,0.005519308],"category_scores_gemma":[0.005286532,0.0004735299,0.001319324,0.002795184,0.001243597,0.0006226386,0.00223099,0.002428111,0.0004923297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05905193,"about_ca_system_score_gemma":0.09010517,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9975337,"about_ca_topic_score_gemma":0.9989181,"domain_scores_codex":[0.997165,0.0002575216,0.0001500761,0.0002759577,0.0009171655,0.001234142],"domain_scores_gemma":[0.987765,0.0005992431,0.001254116,0.0002497512,0.005627779,0.004504133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002061175,0.0002048845,0.9857018,0.00002632545,0.00008684057,0.00008014461,0.000962653,0.0002453667,0.0001242001,0.0005404992,0.005132989,0.006688267],"study_design_scores_gemma":[0.00000703099,0.00002843754,0.9960946,0.00002739283,0.00002127385,0.00001413841,0.001480227,0.0002047316,0.00003795415,0.00003151516,0.002040312,0.0000123784],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810883,0.000869135,0.0001054095,0.002267938,0.0001159365,0.00005402666,0.00716149,0.00002590648,0.008311936],"genre_scores_gemma":[0.9898022,0.0005579775,0.0001484087,0.0003543785,0.00002284927,0.00003004701,0.002679967,0.00002274411,0.006381315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05905193,"threshold_uncertainty_score":0.4284537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04221310795503368,"score_gpt":0.374466442238293,"score_spread":0.3322533342832593,"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."}}