{"id":"W3010220509","doi":"10.1287/trsc.2021.1042","title":"Dynamic Ride-Hailing with Electric Vehicles","year":2021,"lang":"en","type":"preprint","venue":"Transportation Science","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada; HEC Montréal","funders":"HEC Montréal; Institut de Valorisation des Données; Agence Nationale de la Recherche","keywords":"Automotive engineering; Computer science; Aeronautics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000828659,0.0009777639,0.0008398492,0.0004373484,0.0005725924,0.0007603397,0.001518981,0.001466125,0.005606239],"category_scores_gemma":[0.00359108,0.0004104729,0.0005687331,0.0005522207,0.001267938,0.001648519,0.0008001026,0.00167026,0.0003521221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001802237,"about_ca_system_score_gemma":0.001121887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03501616,"about_ca_topic_score_gemma":0.03264444,"domain_scores_codex":[0.9996703,0.00009700506,0.000009978531,0.00008463547,0.00003560112,0.0001024414],"domain_scores_gemma":[0.9985155,0.0009499008,0.0001385815,0.00009550288,0.0001086169,0.000191926],"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":[0.0001116907,0.00006273871,0.0009806604,0.00002404792,0.00001509369,0.00009439939,0.00001371577,0.9929041,0.0001682373,0.001712771,0.0008409258,0.003071614],"study_design_scores_gemma":[0.00002165149,0.00002447306,0.0002740533,0.000004146412,0.000003794623,0.00001010542,0.00002821666,0.9970779,0.0002102713,0.001911225,0.0004298492,0.000004351482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8639297,0.0006479252,0.1164572,0.002144623,0.0001868232,0.0001724115,0.001156588,0.0006398895,0.01466481],"genre_scores_gemma":[0.9855055,0.0001129802,0.01076547,0.00008334844,0.00001669493,0.00004478405,0.0004744667,0.0000339457,0.002962829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03501616,"threshold_uncertainty_score":0.06962472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01082423088032896,"score_gpt":0.2456165263776922,"score_spread":0.2347922954973633,"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."}}