{"id":"W4387865054","doi":"10.1016/j.trb.2023.102818","title":"A data-driven discrete simulation-based optimization algorithm for car-sharing service design","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part B Methodological","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"Ford Foundation; National Science Foundation","keywords":"Computer science; Algorithm; Reservation; Metamodeling; Mathematical optimization; Operator (biology); Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004201206,0.0001989579,0.0002855507,0.0003791527,0.0003092386,0.00007181623,0.0004931274,0.0002000078,0.0002113334],"category_scores_gemma":[0.0005316263,0.0001954855,0.00007335295,0.002171649,0.00008379659,0.0003236943,0.000009544689,0.0003430427,0.00004176841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000526218,"about_ca_system_score_gemma":0.00009142538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002909553,"about_ca_topic_score_gemma":0.000143595,"domain_scores_codex":[0.9973372,0.0003495509,0.000626318,0.0005745616,0.000565011,0.0005473387],"domain_scores_gemma":[0.9937043,0.004867734,0.00005073257,0.0005702892,0.0006542744,0.0001527075],"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":[0.00004292432,0.00002695688,0.0002598749,0.0001001672,0.00004168508,0.000005263018,0.0002317443,0.9947158,0.0003777342,0.0003638207,0.0006336177,0.003200415],"study_design_scores_gemma":[0.0006746886,0.00006058415,0.006279234,0.00002781708,0.00003551298,8.107829e-8,0.0001838988,0.9878569,0.0003762158,0.0004969695,0.003796874,0.000211206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005978127,0.00001400207,0.9891355,0.0005386794,0.0001848469,0.001427215,0.001575001,0.001112659,0.00003397614],"genre_scores_gemma":[0.141672,0.00003677004,0.8377374,0.0001485148,0.0001522655,0.001088283,0.01899106,0.00007592885,0.00009776519],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1513981,"threshold_uncertainty_score":0.7971668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6455356067752253,"score_gpt":0.5069070448368022,"score_spread":0.1386285619384231,"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."}}