{"id":"W2884486709","doi":"10.1016/j.jsr.2018.07.001","title":"Whether conversion and weather matter to roundabout safety","year":2018,"lang":"en","type":"article","venue":"Journal of Safety Research","topic":"Traffic and Road Safety","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Federal Highway Administration","keywords":"Roundabout; Transport engineering; Intersection (aeronautics); Context (archaeology); Poison control; Crash; Collision; Bayes' theorem; Engineering; Computer science; Geography; Bayesian probability; Computer security","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":[0.0007183039,0.0002318082,0.0003059031,0.0006383808,0.0008369101,0.002854295,0.0005327574,0.001251718,0.01976131],"category_scores_gemma":[0.009897475,0.0003276405,0.0007602322,0.0007222851,0.001638211,0.001994065,0.0008163635,0.001179501,0.001556259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000871754,"about_ca_system_score_gemma":0.001059787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02865125,"about_ca_topic_score_gemma":0.0440126,"domain_scores_codex":[0.9991878,0.0002009322,0.0000459598,0.0001492396,0.00013128,0.0002848348],"domain_scores_gemma":[0.9908608,0.002667104,0.003417625,0.0007395254,0.0009915521,0.001323382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001271363,0.0004770814,0.9756302,0.000100817,0.0004501971,0.0004876339,0.0008724449,0.001838235,0.00138304,0.003927652,0.002081512,0.01147986],"study_design_scores_gemma":[0.00001889878,0.0001314784,0.9925135,0.0000263589,0.0001048573,0.00008424957,0.001862496,0.0004539912,0.000238166,0.002504988,0.002046392,0.00001450693],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825467,0.0006715563,0.0003102819,0.001381674,0.0001481921,0.00001286176,0.0003447414,0.00001198948,0.01457197],"genre_scores_gemma":[0.9978537,0.0001756377,0.00004965597,0.0000936646,0.00004878013,0.000001714935,0.0001228559,0.000007645743,0.00164629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02865125,"threshold_uncertainty_score":0.06610823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02398591366804879,"score_gpt":0.3054934203415979,"score_spread":0.2815075066735491,"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."}}