{"id":"W3046962343","doi":"10.3390/infrastructures5080067","title":"Reliability Analysis of Intersection Sight Distance at Roundabouts","year":2020,"lang":"en","type":"article","venue":"Infrastructures","topic":"Traffic and Road Safety","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Roundabout; Intersection (aeronautics); Reliability (semiconductor); Flexibility (engineering); Nonlinear system; Headway; Sensitivity (control systems); Sight; Computer science; Simulation; Mathematics; Engineering; Transport engineering; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001124726,0.0005876811,0.0004867318,0.001107314,0.0002318975,0.0005458707,0.0007503908,0.0003284627,0.0009086216],"category_scores_gemma":[0.005579637,0.0003574479,0.000510496,0.0003336281,0.0004191264,0.0005857381,0.0005814204,0.0003938471,0.0001547049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007957296,"about_ca_system_score_gemma":0.0006561774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003380299,"about_ca_topic_score_gemma":0.002101765,"domain_scores_codex":[0.99906,0.0002693297,0.00004081987,0.0001753985,0.0003739337,0.00008043941],"domain_scores_gemma":[0.9963536,0.001822201,0.0006130659,0.0002066626,0.0009348148,0.00006962949],"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":[0.00007416277,0.00001079014,0.004040158,0.00006641837,0.00002461869,0.00008092197,0.00008543778,0.9606296,0.00560178,0.003932583,0.0001719616,0.0252815],"study_design_scores_gemma":[0.000002961505,0.00005143856,0.001332876,0.000006231606,0.00001267318,0.00004620651,0.0000185397,0.9948328,0.002550734,0.0008165748,0.0003187617,0.00001024414],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08272092,0.0001838298,0.9156442,0.00003229973,0.000009551553,0.00002296045,0.00004141755,0.0002491194,0.001095787],"genre_scores_gemma":[0.9648007,0.0001040579,0.03448662,0.000006492976,0.000008426202,0.00002668668,0.00006493791,0.00003013909,0.0004720033],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003380299,"threshold_uncertainty_score":0.006721258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004987138242311049,"score_gpt":0.1907520037261955,"score_spread":0.1857648654838844,"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."}}