{"id":"W3096081032","doi":"10.1109/isc251055.2020.9239059","title":"Learning-based open driver guidance and rebalancing for reducing riders’ wait time in ride-hailing platforms","year":2020,"lang":"en","type":"article","venue":"","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Matching (statistics); Parametric statistics; Real-time computing; Simulation","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":[0.000176239,0.00009641091,0.0001471315,0.00005461168,0.00006167527,0.0000502474,0.0001003768,0.00004511565,0.00008882849],"category_scores_gemma":[0.00008653459,0.00009934953,0.00002225693,0.0002237336,0.00001477486,0.000248387,0.00001121237,0.0001348067,0.00001084307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003132851,"about_ca_system_score_gemma":0.00002681248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008056744,"about_ca_topic_score_gemma":0.0001549764,"domain_scores_codex":[0.9993242,0.000003282327,0.0002739006,0.0001811016,0.00005862554,0.0001589089],"domain_scores_gemma":[0.9997352,0.00007045962,0.00002519682,0.00007748675,0.00003597388,0.00005569548],"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":[0.00003450284,0.00001346406,0.008323929,0.0001782658,0.00002063499,0.000002739848,0.002718683,0.9587738,0.02496717,0.000908273,0.001202302,0.002856257],"study_design_scores_gemma":[0.001268971,0.00005340375,0.01210346,0.00007913027,0.000008715652,4.806115e-7,0.0004131405,0.97209,0.0100705,0.0001546635,0.00353508,0.0002224204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9298453,0.00002947969,0.06607767,0.001128255,0.00005322701,0.0005926257,0.00001141227,0.0003308556,0.00193118],"genre_scores_gemma":[0.990424,0.00000286495,0.008868176,0.0003994761,0.00002165309,0.00004105571,0.00004563904,0.00002124784,0.0001759058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06057869,"threshold_uncertainty_score":0.4051356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01932233946978846,"score_gpt":0.2388863125293627,"score_spread":0.2195639730595743,"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."}}