{"id":"W4391124869","doi":"10.1155/2024/7764326","title":"Optimal Fleet Policy of Rental Vehicles with Relocation: A Simulation Study","year":2024,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Auckland","keywords":"Renting; Relocation; Fleet management; Operations research; Pooling; Service (business); Popularity; Transport engineering; Profit (economics); Business; Computer science; Operations management; Engineering; Marketing; Economics; Microeconomics","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":[0.001845621,0.0008535791,0.001393506,0.001141703,0.0008179686,0.001735468,0.001711364,0.002493823,0.007358212],"category_scores_gemma":[0.006185341,0.0006708395,0.001800767,0.001211732,0.001031567,0.001726193,0.0009918677,0.002216296,0.0003526614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004061638,"about_ca_system_score_gemma":0.00248016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1059956,"about_ca_topic_score_gemma":0.05585318,"domain_scores_codex":[0.999196,0.0003377502,0.00002724845,0.00008075475,0.00005083089,0.0003074281],"domain_scores_gemma":[0.9920822,0.005748988,0.0007267453,0.0002057988,0.0005524869,0.0006836716],"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":[0.00008895832,0.00009434606,0.001581118,0.00002373981,0.00001836032,0.00007085986,0.00002058428,0.9955035,0.0000832155,0.0015709,0.0003038699,0.0006405915],"study_design_scores_gemma":[0.00003962285,0.00009471448,0.0007320232,0.00001001603,0.00002061496,0.00001258283,0.0001422868,0.9980432,0.00006652719,0.0005894873,0.000238643,0.00001021198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9613153,0.0004418521,0.01732712,0.0007915662,0.00006319158,0.000160756,0.0009510405,0.00008556085,0.01886372],"genre_scores_gemma":[0.9938982,0.0001873559,0.003101978,0.00004736738,0.000007515035,0.00007191624,0.0002725888,0.00001747843,0.002395552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1059956,"threshold_uncertainty_score":0.2107573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009588414409366072,"score_gpt":0.2801643830024549,"score_spread":0.2705759685930888,"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."}}