{"id":"W4281396565","doi":"10.1155/2022/9693949","title":"A Slack Departure Strategy for Demand Responsive Transit Based on Bounded Rationality","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Beijing Municipal Natural Science Foundation; National Natural Science Foundation of China","keywords":"Incentive; Bounded rationality; Operations research; Profit (economics); Computer science; Operator (biology); Heuristic; Mathematical optimization; Economics; Microeconomics; Engineering; Mathematics; Artificial intelligence","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":[0.0003197316,0.0001336382,0.0002021445,0.0002008069,0.0001740523,0.00001541558,0.00009381147,0.0000444476,0.0001112878],"category_scores_gemma":[0.0000184357,0.0001433183,0.0001646397,0.0003276735,0.00002155388,0.0002565158,2.380907e-7,0.0002709073,4.846841e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001088824,"about_ca_system_score_gemma":0.0001515973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.916432e-7,"about_ca_topic_score_gemma":0.00008680565,"domain_scores_codex":[0.9987062,0.00003594678,0.0006358951,0.0001193974,0.0003623402,0.0001402486],"domain_scores_gemma":[0.9991907,0.0001548447,0.0001781563,0.0001048049,0.0003096116,0.00006181491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001032359,0.00009820587,0.000178931,0.00005724588,0.00004374345,0.00001003799,0.0007365221,0.9875634,0.005938103,0.00322133,0.0002489545,0.0008711601],"study_design_scores_gemma":[0.02342542,0.004509,0.7418576,0.0001684762,0.0006715555,0.00003783443,0.006023904,0.0791002,0.01877452,0.02100928,0.103039,0.001383186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7062173,0.00009085826,0.2912265,0.0007435615,0.0004539897,0.000540943,0.0005562342,0.00007253309,0.00009800105],"genre_scores_gemma":[0.9929586,0.000009971175,0.006108682,0.0002639707,0.00005202185,0.00008830281,0.0004681399,0.00002421067,0.00002608985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9084632,"threshold_uncertainty_score":0.584435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01634211478315035,"score_gpt":0.2685517548070938,"score_spread":0.2522096400239434,"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."}}