{"id":"W2902038304","doi":"10.1155/2018/4915970","title":"Evaluation of Roundabout Safety Performance through Surrogate Safety Measures from Microsimulation","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic and Road Safety","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"VisSim; Roundabout; Microsimulation; Traffic simulation; Transport engineering; Crash; Poison control; Traffic volume; Engineering; Sample (material); Geometric design; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007592658,0.0001425565,0.0002665725,0.00007135067,0.00008440485,0.000008079825,0.0001016789,0.00008667115,0.0000628441],"category_scores_gemma":[0.00002501468,0.0001301574,0.00010647,0.0001936062,0.00005844172,0.0008811483,0.000001023139,0.000154276,0.000003557265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001594558,"about_ca_system_score_gemma":0.00008764242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008477703,"about_ca_topic_score_gemma":0.0001346703,"domain_scores_codex":[0.9980966,0.0000542153,0.0008558445,0.0001056246,0.000748336,0.0001393557],"domain_scores_gemma":[0.9983017,0.00005353745,0.000352304,0.0001222929,0.001128504,0.00004168638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004342196,0.00002678377,0.002325253,0.00002776978,0.00009793109,5.665684e-7,0.003673696,0.89764,0.01845474,0.00003849687,0.000009364591,0.07727117],"study_design_scores_gemma":[0.003238915,0.0001934639,0.9296278,0.0002500394,0.0003752237,0.000002643008,0.0003671065,0.02584071,0.03651636,0.0004867131,0.002909431,0.0001915273],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9360505,0.0007485396,0.06166117,0.00002253791,0.0009268359,0.0001539443,0.00004602459,0.00003880049,0.0003516964],"genre_scores_gemma":[0.9914793,0.001041095,0.007140205,0.000008437367,0.0002351083,0.000001395183,0.00006682279,0.00002311443,0.000004528547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9273026,"threshold_uncertainty_score":0.5307667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01884308603277568,"score_gpt":0.2599929023869144,"score_spread":0.2411498163541387,"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."}}