{"id":"W3106186362","doi":"10.1155/2020/3040567","title":"An Improved Iterated Local Search Algorithm for the Static Partial Repositioning Problem in Bike-Sharing System","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Iterated function; Operator (biology); Iterated local search; Set (abstract data type); Algorithm; Mathematical optimization; Computer science; Local search (optimization); Mathematics","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":[0.0005368665,0.000113677,0.0002254212,0.0001139376,0.0000755637,0.00007188713,0.0001704169,0.00004921243,0.000002375494],"category_scores_gemma":[0.00001169025,0.00009321204,0.0000661699,0.0003397129,0.0000183299,0.000506417,0.000001567935,0.0003108816,8.409456e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001601914,"about_ca_system_score_gemma":0.00005087113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001979848,"about_ca_topic_score_gemma":0.00002479425,"domain_scores_codex":[0.9985376,0.00004363259,0.0007346277,0.0001422639,0.0002986294,0.00024324],"domain_scores_gemma":[0.999308,0.0001133505,0.0001309127,0.00009849312,0.0002382503,0.0001109749],"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":[0.0001236037,0.00001333872,0.0003993644,0.0004004317,0.00004707138,0.00004353573,0.003928164,0.9359869,0.03508884,0.00002287064,0.000003975512,0.02394194],"study_design_scores_gemma":[0.001277591,0.0002965096,0.003827317,0.0003226298,0.00002479827,0.00001752014,0.002964378,0.9819224,0.009147365,0.00000909109,0.00008974381,0.0001006458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2716183,0.000131287,0.7274439,0.00008549075,0.0001746027,0.0004747388,0.00001347156,0.00005379113,0.000004392604],"genre_scores_gemma":[0.9746978,0.00001232844,0.02493723,0.00001070954,0.0002247375,0.00005281517,0.00002602447,0.00003635808,0.000001948389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7030796,"threshold_uncertainty_score":0.3801076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01661880497562436,"score_gpt":0.274848787712784,"score_spread":0.2582299827371596,"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."}}