{"id":"W4399021343","doi":"10.1155/2024/6417493","title":"A Developed Tunnel Ventilation System Modeling for an Intelligent Transportation System","year":2024,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ventilation (architecture); Intelligent transportation system; Engineering; Transport engineering; Computer science; Environmental science; Mechanical 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":[0.0002745067,0.0001430746,0.0002058698,0.000224042,0.00005059107,0.00005034433,0.00007607853,0.00008034008,0.000002193353],"category_scores_gemma":[0.000003660523,0.0001422087,0.0001405348,0.0002139531,0.000005267532,0.0008495568,1.729248e-7,0.0001328768,0.000002426106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000250774,"about_ca_system_score_gemma":0.00005844095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001908321,"about_ca_topic_score_gemma":0.00009300682,"domain_scores_codex":[0.9986486,0.0000116734,0.0008418577,0.0001241424,0.0002395485,0.0001341532],"domain_scores_gemma":[0.9994178,0.00002879621,0.0001159191,0.00007167162,0.0002864863,0.00007930356],"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":[0.0001013428,0.00001122432,0.00001992968,0.001467335,0.00005853196,0.00001085854,0.002706744,0.9730328,0.006807523,0.006937046,0.000005945248,0.008840718],"study_design_scores_gemma":[0.0004314971,0.0001021873,0.001580897,0.0009002964,0.0001598299,0.00001264691,0.004497003,0.9901627,0.001491629,0.0001910734,0.0003027005,0.0001675436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4064788,0.000353578,0.5918503,0.000007439648,0.0009027197,0.0001790659,0.00003191821,0.0001773482,0.00001889616],"genre_scores_gemma":[0.9808102,0.00007655878,0.01861619,0.000003717872,0.0001447345,0.00002438223,0.000266548,0.0000493372,0.000008308673],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5743315,"threshold_uncertainty_score":0.5799101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0228936676852885,"score_gpt":0.269309643614763,"score_spread":0.2464159759294745,"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."}}