{"id":"W3117000465","doi":"10.1016/j.jsr.2020.12.005","title":"Prevalence and trends of distracted driving in Canada","year":2020,"lang":"en","type":"article","venue":"Journal of Safety Research","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Traffic Injury Research Foundation","funders":"Public Health Agency of Canada","keywords":"Poison control; Human factors and ergonomics; Injury prevention; Suicide prevention; Distracted driving; Occupational safety and health; Transport engineering; Medical emergency; Engineering; Aeronautics; Environmental health; Computer security; Computer science; Medicine","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":[0.0005197597,0.0003755469,0.0004638824,0.00385968,0.002635479,0.002267682,0.002236835,0.001038757,0.004877686],"category_scores_gemma":[0.002412667,0.0006052254,0.001066528,0.007146648,0.000961189,0.0008187719,0.0009778636,0.001503684,0.0005157989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0235609,"about_ca_system_score_gemma":0.03332254,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950507,"about_ca_topic_score_gemma":0.9961084,"domain_scores_codex":[0.9985196,0.00006060717,0.0001446097,0.0002541142,0.0004436652,0.0005774357],"domain_scores_gemma":[0.993778,0.0002447907,0.001223874,0.0001085463,0.002997,0.001647829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006436595,0.00003636212,0.9955914,0.00003529393,0.00004925611,0.00007257884,0.0005586337,0.00006916518,0.0001259679,0.00008228653,0.001137,0.002177639],"study_design_scores_gemma":[0.000003319896,0.00001869048,0.997368,0.00002899283,0.00001533875,0.00008004932,0.001657048,0.0001771427,0.00002474523,0.00001334015,0.0006012042,0.00001205604],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836487,0.00179891,0.00009467777,0.0005954418,0.00003049323,0.00003314839,0.01092212,0.00003468019,0.002841753],"genre_scores_gemma":[0.9943915,0.001106403,0.00009991509,0.0001393038,0.00001169796,0.00001185635,0.00286022,0.00001113901,0.00136792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0235609,"threshold_uncertainty_score":0.1709471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08285578268899428,"score_gpt":0.4265521148573132,"score_spread":0.3436963321683189,"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."}}