{"id":"W4391768483","doi":"10.1109/itsc57777.2023.10422357","title":"Demand Density Forecasting in Mobility-on-Demand Systems Through Recurrent Mixture Density Networks","year":2023,"lang":"en","type":"article","venue":"","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Demand forecasting; On demand; Computer science; Operations research; Engineering; Multimedia","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":[0.0004278501,0.0001794953,0.0002390672,0.000113406,0.00009701795,0.00003771115,0.00008755708,0.0001486347,0.00001945698],"category_scores_gemma":[0.0000443307,0.0001727309,0.00005622031,0.00089133,0.00002912297,0.0001304272,0.00001295899,0.0003203631,0.00003354312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008090901,"about_ca_system_score_gemma":0.00001320207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009530056,"about_ca_topic_score_gemma":0.001403927,"domain_scores_codex":[0.9987871,0.00003546511,0.0004282952,0.0002623,0.0001615642,0.0003252868],"domain_scores_gemma":[0.9994245,0.0001451491,0.00003167195,0.0002626102,0.00008029216,0.0000557587],"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":[0.00001788745,0.00005988996,0.03780398,0.0002025206,0.00003649522,0.00002436832,0.0008121764,0.950928,0.0001197642,0.005142431,0.004064975,0.0007875102],"study_design_scores_gemma":[0.0005313106,0.0000358428,0.2091582,0.0001512866,0.00001881272,0.000007766428,0.0004025111,0.7871026,0.0003613731,0.0005714105,0.001327273,0.0003315494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9398445,0.0001035175,0.05626817,0.00007773226,0.0009229966,0.0004741878,0.00001145683,0.0007383481,0.001559031],"genre_scores_gemma":[0.9992918,0.00006204295,0.0002123603,0.00006763924,0.00008478143,0.00005550076,0.00009791838,0.00002172801,0.0001062142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1713542,"threshold_uncertainty_score":0.7043763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0308705652817126,"score_gpt":0.2454017245416254,"score_spread":0.2145311592599128,"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."}}