{"id":"W1568753288","doi":"10.1002/atr.1243","title":"Optimal control strategies with an extended cell transmission model for massive vehicular‐pedestrian mixed flows in the evacuation zone","year":2013,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Cell Transmission Model; Transmission (telecommunications); Control (management); Computer science; Transport engineering; Simulation; Engineering; Telecommunications; Artificial intelligence; Traffic congestion","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":[0.0002043393,0.000142034,0.0001888263,0.0001046818,0.00004784299,0.00005510934,0.0001116057,0.00007134432,0.00000827781],"category_scores_gemma":[0.000003405073,0.00009892014,0.00007339276,0.000122912,0.00001290347,0.001240404,1.707157e-7,0.000182655,5.594912e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004139736,"about_ca_system_score_gemma":0.00007063145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000321725,"about_ca_topic_score_gemma":0.0001542091,"domain_scores_codex":[0.9989997,0.00003235825,0.0004625554,0.00009466805,0.0002596702,0.0001510257],"domain_scores_gemma":[0.999397,0.00005523774,0.0001626092,0.00008677412,0.0002355517,0.0000628682],"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":[0.0002891699,0.0000646914,0.00001915445,0.0000544288,0.00001534243,0.000004430365,0.002734374,0.9678774,0.02341862,0.0001597725,0.000005120595,0.005357429],"study_design_scores_gemma":[0.004117552,0.0003927238,0.01291249,0.00004558455,0.00007234126,0.000003445361,0.003950876,0.9764388,0.0007958278,0.001116495,0.00002134159,0.0001324879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4921994,0.00005631851,0.5072687,0.00009586547,0.00003124111,0.0003179203,0.000006683802,0.00001288264,0.00001104991],"genre_scores_gemma":[0.9313658,0.00006526204,0.06835487,0.00002600159,0.0000319617,0.00005873226,0.00006781935,0.00002269854,0.000006795453],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4391665,"threshold_uncertainty_score":0.4033846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007286334647537533,"score_gpt":0.2283044006421285,"score_spread":0.221018065994591,"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."}}