{"id":"W3112977431","doi":"10.1155/2020/8843783","title":"Dynamic Scheduling Model of Bike-Sharing considering Invalid Demand","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Jiangsu Province; Government of Jiangsu Province","keywords":"Computer science; Scheduling (production processes); Renting; Dynamic priority scheduling; Mathematical optimization; Pareto principle; Operations research; Quality of service; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007121348,0.0009937619,0.001033321,0.0005176128,0.0007402675,0.001468856,0.001399303,0.001043463,0.003319499],"category_scores_gemma":[0.001251829,0.0006636692,0.0007554765,0.0006944488,0.0005337623,0.00122579,0.0009251614,0.001064611,0.0002960714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563293,"about_ca_system_score_gemma":0.001940439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03055409,"about_ca_topic_score_gemma":0.01434535,"domain_scores_codex":[0.999441,0.0001051534,0.0000272711,0.0001525425,0.0001145661,0.0001594343],"domain_scores_gemma":[0.9995722,0.0001509469,0.00007394467,0.00002067227,0.0001321232,0.00005006864],"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":[0.00001805126,0.00001095516,0.0003251873,0.00001738221,0.000009115581,0.0000339771,0.00002585226,0.9949361,0.0004838382,0.001749917,0.0001959878,0.002193515],"study_design_scores_gemma":[0.000002623682,0.000006503572,0.00009405991,0.000001193467,0.000003667628,0.000003629365,0.000009426065,0.9991623,0.00005619837,0.0005634111,0.00009479972,0.000002309542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1556092,0.0004934006,0.8271827,0.0005176418,0.0001261572,0.0001343366,0.0003834762,0.000385757,0.01516734],"genre_scores_gemma":[0.9815362,0.0002149871,0.0120327,0.00003869038,0.00001884152,0.0001206513,0.0001737376,0.00004211465,0.005822073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03055409,"threshold_uncertainty_score":0.06075251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04190305253220038,"score_gpt":0.3133922961967238,"score_spread":0.2714892436645234,"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."}}