{"id":"W2807539501","doi":"10.1155/2018/4598985","title":"Evaluating Highway Traffic Safety: An Integrated Approach","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic and Road Safety","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"U.S. Department of Transportation","keywords":"Intersection (aeronautics); Transport engineering; Crash; Statistical analysis; Computer science; Analytic network process; Process (computing); Engineering; Operations research; Analytic hierarchy process; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.006509476,0.001897873,0.00191044,0.01153219,0.0008943186,0.003919469,0.002158405,0.001025588,0.002000953],"category_scores_gemma":[0.0134235,0.0009052611,0.00150779,0.005636716,0.001485165,0.004320438,0.003701238,0.00159901,0.0003324797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00216562,"about_ca_system_score_gemma":0.003305687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003909058,"about_ca_topic_score_gemma":0.003963729,"domain_scores_codex":[0.9899867,0.004263481,0.0005683342,0.0008600246,0.004124978,0.0001963603],"domain_scores_gemma":[0.9943902,0.002557372,0.0005793865,0.0003909587,0.001944519,0.000137538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0000991609,0.0006220325,0.02446896,0.001129122,0.001387112,0.0002474543,0.001133547,0.3030471,0.005829036,0.09845212,0.002050377,0.5615339],"study_design_scores_gemma":[0.00002702094,0.0004670873,0.00760835,0.0002576396,0.0004536387,0.0001314203,0.0008896385,0.8649821,0.003303643,0.1159588,0.005826855,0.00009390526],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01136722,0.0004093671,0.9839919,0.000155612,0.00002292616,0.0001941123,0.00008872676,0.0001888388,0.003581354],"genre_scores_gemma":[0.3299247,0.0009533037,0.6672047,0.00007061467,0.00007505361,0.0004744635,0.0002847639,0.00006087813,0.0009516386],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01153219,"threshold_uncertainty_score":0.03442585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01851313521663523,"score_gpt":0.2757931313811414,"score_spread":0.2572799961645061,"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."}}