{"id":"W1564826086","doi":"10.1002/atr.181","title":"Operational performance comparison of four unconventional intersection designs using micro‐simulation","year":2012,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Intersection (aeronautics); VisSim; Crossover; Traffic volume; Volume (thermodynamics); Computer science; Simulation; Mathematics; Transport engineering; Engineering; Physics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00042225,0.0005060526,0.0003512756,0.0006940703,0.0003305221,0.0006541238,0.0007369323,0.0003557508,0.001567472],"category_scores_gemma":[0.0006172566,0.000212723,0.0003201203,0.0006192361,0.0003371768,0.0004043415,0.0004337925,0.0003113695,0.0001487542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001125775,"about_ca_system_score_gemma":0.0007174221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005542054,"about_ca_topic_score_gemma":0.00563887,"domain_scores_codex":[0.9996023,0.000107797,0.00002518898,0.00004551107,0.0001397731,0.00007951462],"domain_scores_gemma":[0.9993328,0.0002328289,0.00009965983,0.00009043254,0.0001950817,0.00004898858],"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":[0.0004642675,0.0001110561,0.008040328,0.00008165569,0.00004279834,0.0000790458,0.0001023013,0.9565365,0.01717275,0.001428168,0.000346413,0.01559468],"study_design_scores_gemma":[0.00003335453,0.0006835114,0.004174537,0.00001183911,0.0000383338,0.00002956139,0.0001678113,0.9786406,0.01467197,0.0003055495,0.001208092,0.00003487773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971867,0.0001354159,0.02394653,0.00003028081,0.00002679251,0.0000421306,0.000156228,0.0002854948,0.003510147],"genre_scores_gemma":[0.9957093,0.00004173354,0.003823072,0.000002997173,9.288564e-7,0.00002308103,0.00007138334,0.000005205349,0.0003222309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005542054,"threshold_uncertainty_score":0.01101959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03430121861785148,"score_gpt":0.277594558005096,"score_spread":0.2432933393872445,"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."}}