{"id":"W2091548748","doi":"10.1002/atr.110","title":"Modelling passengers, buses and stops in traffic microsimulation: review and extensions","year":2010,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microsimulation; Transport engineering; Context (archaeology); Public transport; Computer science; Representation (politics); Operations research; Traffic simulation; Control (management); Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009521715,0.00006725104,0.0001575646,0.00007056056,0.0000261006,0.00000617857,0.00002240358,0.00002443725,0.000003899461],"category_scores_gemma":[0.000004300931,0.00006193938,0.00002343372,0.0000687606,0.00001055496,0.0002202586,6.918009e-7,0.0001553844,1.102565e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005998867,"about_ca_system_score_gemma":0.000004996433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.190604e-7,"about_ca_topic_score_gemma":0.0001038908,"domain_scores_codex":[0.9995286,0.000004356122,0.0002772362,0.00005794509,0.00006356704,0.00006832192],"domain_scores_gemma":[0.9997938,0.000028427,0.00005637582,0.00004008311,0.00004213806,0.00003923052],"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":[0.000008936736,0.000009438685,0.00005525434,0.0002076464,0.000008786377,0.000008290331,0.0004120168,0.976038,0.003517449,0.00006438222,0.000009409627,0.01966039],"study_design_scores_gemma":[0.009348585,0.0002950574,0.621101,0.003607415,0.001120788,0.0001132452,0.001132781,0.321337,0.0002903459,0.0008657079,0.0397476,0.001040532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821133,0.01272562,0.00461126,0.000249458,0.0001546717,0.0001179106,0.00000204306,0.00001930512,0.000006417633],"genre_scores_gemma":[0.9773235,0.01669672,0.005905341,0.00003473037,0.000023698,0.000002022032,0.000002708438,0.0000080537,0.000003181229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.654701,"threshold_uncertainty_score":0.2525815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006879219411560847,"score_gpt":0.2162803370699088,"score_spread":0.209401117658348,"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."}}