{"id":"W2292728830","doi":"","title":"Development of Road Traffic CA Model of 4-Way Intersection to Study Travel Time","year":2012,"lang":"en","type":"article","venue":"Complex Sciences. First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009, Revised Papers, Part 2","topic":"Traffic control and management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Intersection (aeronautics); Roundabout; Traffic flow (computer networking); Cellular automaton; Computer science; Transport engineering; Simulation; Engineering; Computer security; Algorithm","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":[0.0002600981,0.0004516907,0.0005724783,0.0004823525,0.0004413655,0.0008855446,0.001875705,0.0007615649,0.004248386],"category_scores_gemma":[0.001076246,0.0003399027,0.001077951,0.0006177844,0.0003869055,0.001197799,0.0005618071,0.001104023,0.0008316538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001338303,"about_ca_system_score_gemma":0.00219477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03172645,"about_ca_topic_score_gemma":0.01430848,"domain_scores_codex":[0.9997438,0.00004906437,0.0000166873,0.00007705833,0.00007493047,0.00003845877],"domain_scores_gemma":[0.9995992,0.0001092643,0.00004279774,0.00005293466,0.0001665362,0.00002927825],"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":[0.00001585907,0.00002178005,0.0009190806,0.00003045108,0.00002108693,0.00006558335,0.00006916731,0.9389959,0.00197499,0.05333989,0.0007557865,0.003790498],"study_design_scores_gemma":[0.00000758146,0.000008095653,0.0001267726,0.000004973082,0.000009815987,0.00001862877,0.00001162803,0.9898068,0.0006012507,0.005087805,0.004309624,0.00000692882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05351696,0.0003601892,0.914822,0.0002982544,0.0001676343,0.0001564742,0.001322876,0.001136016,0.02821967],"genre_scores_gemma":[0.7899376,0.0006544776,0.1875557,0.0001170569,0.00007867812,0.0006440058,0.001319183,0.0003136061,0.01937979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03172645,"threshold_uncertainty_score":0.06308359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05506184422603587,"score_gpt":0.265984646555265,"score_spread":0.2109228023292292,"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."}}