{"id":"W2964571806","doi":"10.1287/opre.2018.1822","title":"Empty-Car Routing in Ridesharing Systems","year":2019,"lang":"en","type":"article","venue":"Operations Research","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":226,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chinese University of Hong Kong; University of Hong Kong; University of Toronto","keywords":"Computer science; Vehicle routing problem; Routing (electronic design automation); Operations research; Transport engineering; Mathematical optimization; Computer network; Mathematics; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0007100719,0.0006410797,0.001049941,0.0008279529,0.001205273,0.003847548,0.001636694,0.001597969,0.008082273],"category_scores_gemma":[0.00277029,0.000613307,0.0008335627,0.001295795,0.001825392,0.006369015,0.001515103,0.002166757,0.0007519019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002216656,"about_ca_system_score_gemma":0.001391399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008975354,"about_ca_topic_score_gemma":0.004989177,"domain_scores_codex":[0.9992927,0.0001876986,0.00004348052,0.0001905891,0.0001536537,0.0001318092],"domain_scores_gemma":[0.9987111,0.0006889985,0.0001545047,0.0001183549,0.0002636138,0.00006342819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001643471,0.00003958719,0.0004566069,0.0001234866,0.00001330692,0.0001347897,0.0002241655,0.2294007,0.000763315,0.7529287,0.002029988,0.01386897],"study_design_scores_gemma":[0.000006024577,0.00002880779,0.000421083,0.00005693626,0.00001363216,0.0001245823,0.0002772064,0.5031648,0.0004227109,0.4862669,0.009186941,0.00003031306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04167682,0.004576559,0.8970648,0.002219804,0.0002996513,0.00008620949,0.0002394841,0.0001239767,0.05371286],"genre_scores_gemma":[0.9008183,0.007092213,0.06711799,0.0003811386,0.0004677777,0.00007188718,0.0002687933,0.00006570626,0.02371623],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008975354,"threshold_uncertainty_score":0.02703792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05969899393229509,"score_gpt":0.3478440487347684,"score_spread":0.2881450548024733,"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."}}