{"id":"W4384406331","doi":"10.1002/net.22170","title":"Two‐stage stochastic one‐to‐many driver matching for ridesharing","year":2023,"lang":"en","type":"article","venue":"Networks","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université de Montréal; Transport Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Matching (statistics); Benchmark (surveying); Profitability index; Computer science; Set (abstract data type); Mathematical optimization; Stochastic modelling; Operations research; Mathematics; Economics; Finance","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":[0.003360515,0.001260774,0.003088618,0.0007330606,0.000888088,0.002240903,0.00318502,0.002314261,0.008835157],"category_scores_gemma":[0.006291938,0.001092213,0.00202993,0.001444487,0.001190537,0.002652303,0.001798886,0.002224337,0.0006270381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002759132,"about_ca_system_score_gemma":0.002218312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01211753,"about_ca_topic_score_gemma":0.006540191,"domain_scores_codex":[0.9976578,0.0009195096,0.00008124121,0.000488486,0.0003152378,0.0005376869],"domain_scores_gemma":[0.9970555,0.00183122,0.0003252705,0.0002586007,0.0002119891,0.0003172536],"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":[0.00004382722,0.00004198255,0.0002457935,0.00002718801,0.00001440771,0.00002991623,0.00001966005,0.9877165,0.0002010388,0.008381492,0.0004233293,0.002854809],"study_design_scores_gemma":[0.000006259796,0.00002398733,0.00007605482,0.000002517776,0.000004079236,0.00001034444,0.000008325847,0.996172,0.00007737062,0.003427347,0.0001866604,0.000005076177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0963943,0.0005696043,0.8952222,0.0006448593,0.0001062935,0.0002769472,0.0006453013,0.0003718749,0.00576852],"genre_scores_gemma":[0.9412736,0.0003578415,0.05080631,0.0001626117,0.00005155766,0.0002250001,0.0004615675,0.00009303863,0.006568416],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01211753,"threshold_uncertainty_score":0.02955657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02399823508684135,"score_gpt":0.2633445478943576,"score_spread":0.2393463128075163,"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."}}