{"id":"W2058360608","doi":"10.1016/s0001-4575(02)00019-2","title":"Trends in fatal crashes involving female drivers, 1975–1998","year":2003,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"Traffic Injury Research Foundation","funders":"","keywords":"Crash; Poison control; Injury prevention; Occupational safety and health; Mile; Human factors and ergonomics; Licensure; Suicide prevention; Demography; Motor vehicle crash; Environmental health; Medicine; Transport engineering; Forensic engineering; Engineering; Geography; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0002441518,0.000388203,0.0002070495,0.002524682,0.0004200788,0.0006600856,0.0006534511,0.0007393566,0.003429441],"category_scores_gemma":[0.001064552,0.0002360559,0.0005194492,0.00239458,0.0001594775,0.0006328585,0.0003423698,0.0004604411,0.0009325303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00100919,"about_ca_system_score_gemma":0.0006547631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1323021,"about_ca_topic_score_gemma":0.1494337,"domain_scores_codex":[0.9997473,0.00001672703,0.00003861999,0.00006829292,0.00004528231,0.00008374585],"domain_scores_gemma":[0.9989129,0.00008248032,0.0004688465,0.0000293483,0.0003603912,0.000146156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005023478,0.00004707898,0.989225,0.0001015882,0.0001039512,0.0001719162,0.0002746822,0.0002753061,0.0004319063,0.0000643858,0.002539683,0.006262282],"study_design_scores_gemma":[0.000007291514,0.00006100908,0.9965336,0.00002115196,0.00004773205,0.0003082193,0.0002842186,0.0001476927,0.000133512,0.000008846896,0.002441967,0.000004821566],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736704,0.002858072,0.0001733758,0.0001979264,0.0000412156,0.00001240433,0.01900719,0.00006466611,0.003974672],"genre_scores_gemma":[0.9790355,0.002071621,0.0001345419,0.00008867922,0.00005043705,0.0000194905,0.01459424,0.00001099344,0.003994517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1323021,"threshold_uncertainty_score":0.2630641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01155378988140614,"score_gpt":0.2409764128965677,"score_spread":0.2294226230151615,"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."}}