{"id":"W4313250949","doi":"10.1111/mice.12958","title":"Modeling, equilibrium, and demand management for mobility and delivery services in Mobility‐as‐a‐Service ecosystems","year":2022,"lang":"en","type":"article","venue":"Computer-Aided Civil and Infrastructure Engineering","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Regina","funders":"","keywords":"Computer science; Service (business); Incentive; Service delivery framework; Multimodal transport; Environmental economics; Operations research; Business; Microeconomics; Economics; Marketing; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002186244,0.0002461236,0.0002719107,0.0002054739,0.00009269211,0.00006730374,0.0001253214,0.00006624487,0.0000162399],"category_scores_gemma":[0.00000212178,0.0002812882,0.00002943824,0.0002746454,0.0000142104,0.0002323873,0.0001197589,0.0002140551,2.023235e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006239922,"about_ca_system_score_gemma":0.000009809522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006264656,"about_ca_topic_score_gemma":0.0002244357,"domain_scores_codex":[0.9988235,0.00001325272,0.0004048627,0.0003718173,0.0001220305,0.0002645798],"domain_scores_gemma":[0.999585,0.00004681217,0.00002643786,0.0002041947,0.00004289355,0.00009465571],"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":[0.00001355478,0.00001714867,0.001093247,0.001871416,0.00004841741,0.000002849953,0.0009034927,0.9921341,0.0007491705,0.001181803,0.00001789458,0.001966907],"study_design_scores_gemma":[0.00076155,0.00004938162,0.02184754,0.00006350143,0.00002364995,0.00002114586,0.0002686048,0.9747528,0.00003983201,0.0006243753,0.001292527,0.0002551134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.933967,0.0007808903,0.06402612,0.00003564823,0.0002862946,0.0005892666,0.00006338241,0.0002092269,0.00004219919],"genre_scores_gemma":[0.9956747,0.00008479239,0.00376035,0.0001192821,0.00005280876,0.0002058727,0.00006784635,0.0000309302,0.000003364901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06170779,"threshold_uncertainty_score":0.9999639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005097845602064915,"score_gpt":0.1842313852319812,"score_spread":0.1791335396299163,"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."}}