{"id":"W4401705847","doi":"10.2139/ssrn.4926445","title":"Joint Optimization of Water and Traffic Flow Discharge During Flood Evacuations","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Joint (building); Flood myth; Flow (mathematics); Environmental science; Computer science; Engineering; Civil engineering; Geography; Mechanics; Physics; Archaeology","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":[0.00138886,0.001166906,0.002224641,0.0008057404,0.0005990095,0.001743591,0.0008681489,0.002442087,0.002481401],"category_scores_gemma":[0.005047035,0.001186914,0.0009363359,0.0008660738,0.001302692,0.001375888,0.001940814,0.001101544,0.0002462911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001159182,"about_ca_system_score_gemma":0.00189894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01118158,"about_ca_topic_score_gemma":0.005479544,"domain_scores_codex":[0.9995498,0.0001746699,0.00001629232,0.00006955909,0.00004269119,0.000146918],"domain_scores_gemma":[0.9982902,0.001109725,0.00017179,0.00004644233,0.0001745905,0.0002071176],"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":[0.0000754079,0.00001426148,0.0001373117,0.00001386577,0.00001213892,0.00001936822,0.00001029458,0.9975742,0.000235142,0.0006256388,0.000144771,0.001137692],"study_design_scores_gemma":[0.00000947405,0.00002396883,0.000109654,0.000002044388,0.000004276435,0.000002635607,0.00001105534,0.9991407,0.0001236666,0.0005083708,0.0000604172,0.000003631561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4061178,0.0006408013,0.5781906,0.001630816,0.0002461363,0.0001472563,0.0005200549,0.000478565,0.01202813],"genre_scores_gemma":[0.985427,0.0001083251,0.01045324,0.0000572376,0.00004086937,0.00006952917,0.0001205422,0.00008915384,0.00363407],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01118158,"threshold_uncertainty_score":0.02223301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005663824103894073,"score_gpt":0.2043294745292503,"score_spread":0.1986656504253562,"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."}}