{"id":"W4285043598","doi":"10.22215/etd/2022-15077","title":"Accommodation of Freeway Merging in Environment of Mixed Vehicle Technologies","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Traffic control and management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"VisSim; Merge (version control); Transport engineering; Automotive engineering; MATLAB; Modal shift; Computer science; Simulation; Engineering; Microsimulation; Real-time computing; Public transport","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":[0.0002628699,0.0002817876,0.0001526318,0.0004205969,0.0008861856,0.00137082,0.0006006022,0.0004687785,0.003899098],"category_scores_gemma":[0.0007275988,0.0001408633,0.0002937616,0.0004202662,0.0002990972,0.001622225,0.001441698,0.0002838793,0.0005819577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004100423,"about_ca_system_score_gemma":0.0007820787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001513616,"about_ca_topic_score_gemma":0.002706588,"domain_scores_codex":[0.9995782,0.00009491183,0.00001471767,0.00006064852,0.0001160773,0.0001354601],"domain_scores_gemma":[0.9997424,0.00004301191,0.00004907063,0.00003572379,0.00006779662,0.00006190231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000700852,0.0006127735,0.0414306,0.0008985404,0.00008234307,0.003191984,0.007149824,0.0725929,0.05547478,0.1476858,0.007580691,0.6625988],"study_design_scores_gemma":[0.00007862461,0.003250725,0.09063151,0.000594779,0.000259723,0.005017943,0.03210391,0.3322504,0.09821981,0.08698741,0.3503684,0.0002367472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7849673,0.001529409,0.0731114,0.0004186198,0.0001441565,0.0001443946,0.00007653836,0.00035726,0.1392509],"genre_scores_gemma":[0.9779426,0.0003989459,0.01094949,0.00004104673,0.00002112647,0.00003102575,0.00006068257,0.00002063802,0.01053451],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003899098,"threshold_uncertainty_score":0.01304376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004324543801874985,"score_gpt":0.1842579410235659,"score_spread":0.1799333972216909,"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."}}