{"id":"W2147337000","doi":"10.1093/ije/dys180","title":"Cell phone use and traffic crash risk: a culpability analysis","year":2012,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Vancouver Hospital and Health Sciences Centre; Dalhousie University","funders":"","keywords":"Culpability; Crash; Phone; Poison control; Injury prevention; Medicine; Odds ratio; Occupational safety and health; Human factors and ergonomics; Distraction; Demography; Odds; Computer security; Medical emergency; Psychology; Logistic regression; Criminology; Computer science; Internal medicine; Sociology","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":[0.001197767,0.0004357392,0.0004204579,0.003157089,0.0004259193,0.0009030066,0.0006491384,0.0004930047,0.00390579],"category_scores_gemma":[0.004869344,0.0001992627,0.001858669,0.00199619,0.0002797454,0.0005284889,0.00104347,0.0005288193,0.000422384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004560915,"about_ca_system_score_gemma":0.0004225784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01095121,"about_ca_topic_score_gemma":0.008211651,"domain_scores_codex":[0.9989834,0.000319478,0.0001164672,0.0002030023,0.0002663782,0.0001111837],"domain_scores_gemma":[0.995771,0.001495488,0.001508073,0.0003377634,0.0004687042,0.0004190321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002626159,0.00002324945,0.9982094,0.00001232174,0.0002519913,0.00005270688,0.00002988234,0.0000987991,0.0001123636,0.00001300477,0.00003625349,0.0008974107],"study_design_scores_gemma":[0.00001004667,0.0002289288,0.9973328,0.000007850682,0.0002701672,0.0002527385,0.0001602359,0.00141497,0.0001138641,0.00003401259,0.0001679897,0.000006359787],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984761,0.0002340093,0.0003176214,0.00001681769,0.00000325779,0.00002203563,0.0005340872,0.000008663793,0.0003874917],"genre_scores_gemma":[0.9991546,0.00007072664,0.0001506858,0.00000497555,0.000005940671,0.00001959764,0.0004484942,0.000003915512,0.0001410644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01095121,"threshold_uncertainty_score":0.02177495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07829355459924428,"score_gpt":0.424325277134542,"score_spread":0.3460317225352977,"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."}}