{"id":"W3000083557","doi":"10.1155/2020/1291342","title":"Research on Decision-Making Behavior of Discretionary Lane-Changing Based on Cumulative Prospect Theory","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Chang'an University","keywords":"Cumulative prospect theory; Preference; Duration (music); Computer science; Sensitivity (control systems); Econometrics; Order (exchange); Decision model; Risk aversion (psychology); Operations research; Expected utility hypothesis; Engineering; Mathematics; Economics; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005094617,0.0007442832,0.0007378616,0.001403207,0.0004881795,0.002150937,0.001060469,0.00109082,0.002499153],"category_scores_gemma":[0.01585846,0.0003822624,0.00114599,0.00134752,0.001371895,0.003976094,0.0007994808,0.00176639,0.0002225048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001662312,"about_ca_system_score_gemma":0.001195051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003301099,"about_ca_topic_score_gemma":0.002309754,"domain_scores_codex":[0.9968682,0.001761014,0.0001262869,0.0004681359,0.0005020823,0.0002743052],"domain_scores_gemma":[0.9847648,0.01138391,0.001516187,0.0006545949,0.001129267,0.0005511989],"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":[0.000500232,0.0005872879,0.06587813,0.0007729456,0.0005845322,0.0006132894,0.002472483,0.4206589,0.003533289,0.3860433,0.001592962,0.1167627],"study_design_scores_gemma":[0.00004264687,0.0003641456,0.01853107,0.0001177066,0.0001782881,0.0002042722,0.0008794547,0.7736667,0.000956177,0.202591,0.002318854,0.0001497002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4960452,0.002597623,0.4834129,0.00158395,0.0001257345,0.0001673161,0.0001678624,0.00009932343,0.01580002],"genre_scores_gemma":[0.9848095,0.00091189,0.01305092,0.00007074358,0.00003652628,0.00005104973,0.00005299683,0.000006985591,0.001009454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005094617,"threshold_uncertainty_score":0.02694321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01938192314047468,"score_gpt":0.3097928134072864,"score_spread":0.2904108902668117,"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."}}