{"id":"W4400235327","doi":"10.11159/iccste24.170","title":"Improving Walkability of People with Reduced Mobility at an Intersection Using Microsimulation In VISSIM And SSAM","year":2024,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Civil, Structural and Transportation Engineering","topic":"Traffic control and management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"VisSim; Microsimulation; Walkability; Intersection (aeronautics); Computer science; Transport engineering; Environmental science; Engineering; Civil engineering; Built environment","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004666399,0.000514261,0.0003895147,0.0005170967,0.0002068451,0.00045075,0.0005001945,0.0003840771,0.001398959],"category_scores_gemma":[0.001517303,0.0001856914,0.0004378913,0.0003250665,0.0001865024,0.0004004751,0.0006916411,0.0002718556,0.0001827452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003870981,"about_ca_system_score_gemma":0.0006208485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007803869,"about_ca_topic_score_gemma":0.005120164,"domain_scores_codex":[0.9997744,0.00009553824,0.00001057562,0.00003057991,0.00005249922,0.00003647609],"domain_scores_gemma":[0.9994411,0.0002911974,0.0000676449,0.00006173563,0.00009600957,0.00004231992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002074189,0.0001713269,0.006473776,0.00008705259,0.00003646328,0.00006485612,0.0002175017,0.9536072,0.007114196,0.001987888,0.0002241247,0.02980813],"study_design_scores_gemma":[0.00001205732,0.0001550142,0.001449482,0.000009337382,0.00001693031,0.00001766353,0.0001026768,0.9935201,0.003533049,0.0004947065,0.0006783893,0.00001053183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7169092,0.00007229343,0.2752469,0.0001059315,0.00003029551,0.0001208814,0.0002261497,0.001086891,0.006201488],"genre_scores_gemma":[0.9661738,0.00004047904,0.03283327,0.00001030565,0.00000267648,0.0001195238,0.0001193726,0.00002833511,0.0006722192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007803869,"threshold_uncertainty_score":0.01551688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008805614282380364,"score_gpt":0.2124051149223252,"score_spread":0.2035995006399448,"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."}}