{"id":"W3092344352","doi":"10.1155/2020/8858302","title":"The Effect of Regret-Based Risky Route Choice on the Traffic Equilibrium for Emergency Evacuation","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China Postdoctoral Science Foundation; Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Regret; Risk aversion (psychology); Context (archaeology); Loss aversion; SAFER; Economics; Expected utility hypothesis; Computer science; Operations research; Microeconomics; Engineering; Mathematical economics; Computer security","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":[0.0003153866,0.0001079656,0.0001552013,0.00003356952,0.00005825091,0.000009331762,0.000134696,0.00003976854,0.00001006306],"category_scores_gemma":[0.0001689929,0.0000644695,0.000169803,0.0001819271,0.00001518577,0.0001557913,4.056404e-7,0.0001542727,0.000001072548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000296606,"about_ca_system_score_gemma":0.00002070927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.471161e-7,"about_ca_topic_score_gemma":0.0000182229,"domain_scores_codex":[0.9990388,0.00003842507,0.0005062771,0.0000650416,0.0002496131,0.0001018555],"domain_scores_gemma":[0.9989713,0.0004708639,0.0002831029,0.00008853419,0.0001413256,0.00004483051],"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":[0.0003751574,0.000006685284,0.0003330904,0.00009191466,0.00003739454,3.998428e-7,0.0003547863,0.9774829,0.01194046,0.00016608,0.0001330623,0.009078109],"study_design_scores_gemma":[0.004938069,0.00306742,0.06991451,0.0001870221,0.0003819138,0.000001009274,0.0004031429,0.856051,0.06015742,0.0003407578,0.00424775,0.0003100237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9682305,0.0002265537,0.02894208,0.001767221,0.0003993262,0.0003507758,0.00002340302,0.00003008777,0.00002999154],"genre_scores_gemma":[0.9992381,0.00008464143,0.0004634551,0.0000383779,0.0001044488,0.00001611495,0.00002517094,0.00002136154,0.000008276718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1214319,"threshold_uncertainty_score":0.262899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0105180983007357,"score_gpt":0.2548741230074068,"score_spread":0.2443560247066711,"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."}}