{"id":"W4210485851","doi":"10.18356/9789210001281","title":"Statistics of Road Traffic Accidents in Europe and North America 2021","year":2022,"lang":"en","type":"book","venue":"Statistics of road traffic accidents in Europe and North America.","topic":"Transportation Systems and Logistics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Road traffic; Geography; Traffic volume; Road traffic accident; Distribution (mathematics); Road accident; Population; Statistics; Engineering; Environmental health; Medicine; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007543176,0.000932871,0.0004745756,0.005703116,0.0003127365,0.001225755,0.0004738995,0.000358299,0.01497946],"category_scores_gemma":[0.002179776,0.0002644967,0.0003354379,0.009520395,0.000121698,0.000797946,0.0004432628,0.0006778192,0.02054746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001000259,"about_ca_system_score_gemma":0.001982466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03956643,"about_ca_topic_score_gemma":0.02937169,"domain_scores_codex":[0.9990553,0.00009597415,0.0001022772,0.00009315664,0.0005825873,0.00007062452],"domain_scores_gemma":[0.998151,0.0002214866,0.0001638566,0.00006624364,0.001305499,0.00009180044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002483802,0.00001529844,0.003694856,0.0001886353,0.00001878452,0.00003039607,0.00003910216,0.000500846,0.00006387962,0.001593364,0.9453367,0.04849331],"study_design_scores_gemma":[0.000006029605,0.00001843745,0.0297126,0.0001826619,0.00001020254,0.000111383,0.00006270697,0.0002738275,0.0001122267,0.0004673215,0.969032,0.00001049683],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.009541917,0.03895642,0.003667228,0.003322142,0.005948799,0.0001883527,0.7515456,0.001859094,0.1849705],"genre_scores_gemma":[0.01728711,0.02037066,0.002891897,0.0008421726,0.001054331,0.0002697727,0.7929171,0.0003526723,0.1640143],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03956643,"threshold_uncertainty_score":0.07867223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01189328800526642,"score_gpt":0.2267090663683179,"score_spread":0.2148157783630514,"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."}}