{"id":"W2904242730","doi":"10.5267/j.msl.2018.12.003","title":"Simulation-based optimization approach for vehicle allocation in a private transport service: A case study","year":2018,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad de La Sabana","keywords":"Service (business); Computer science; Operations research; Transport engineering; Business; Operations management; Process management; Marketing; Mathematics; Engineering","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":[0.0003990363,0.00009048286,0.00006837735,0.0003506841,0.000152036,0.00003824156,0.0001492107,0.00001624043,0.000008665967],"category_scores_gemma":[0.00000584076,0.0001007943,0.00001548769,0.001674072,0.00006959372,0.0003040118,0.000004196402,0.00003846012,0.000001584025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008415463,"about_ca_system_score_gemma":0.000006341025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003962576,"about_ca_topic_score_gemma":0.000136945,"domain_scores_codex":[0.9991097,0.000007038167,0.000239024,0.0002500672,0.0002033115,0.0001908404],"domain_scores_gemma":[0.9996609,0.00002088155,0.0000256651,0.0002097534,0.00005330996,0.00002945838],"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":[0.00000587928,0.0001029865,0.009384878,0.00005643602,0.000006950848,0.000008779762,0.001270068,0.9881994,0.0005023169,0.0001197051,0.000003917425,0.0003387081],"study_design_scores_gemma":[0.0007304183,0.000022792,0.02060922,0.000005688537,0.00001656379,2.96808e-7,0.0008749186,0.9774886,0.0001027543,0.000002755912,0.00003703693,0.0001089243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4815215,2.428641e-7,0.5172833,0.0002144467,0.00004382755,0.0007847867,0.000001781726,0.00008502595,0.00006500141],"genre_scores_gemma":[0.9517921,9.695602e-8,0.04689554,0.0009912641,0.00001589425,0.0002559857,0.00003469004,0.00001100552,0.000003476735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4703878,"threshold_uncertainty_score":0.4110273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02050430988758193,"score_gpt":0.2630697024034887,"score_spread":0.2425653925159068,"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."}}