{"id":"W4399058564","doi":"10.1007/978-3-031-60597-0_1","title":"Online Optimization of a Dial-a-Ride Problem with the Integral Primal Simplex","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Computer science; Simplex; Simplex algorithm; Dial; Mathematical optimization; Algorithm; Linear programming; Mathematics; Electrical engineering; Combinatorics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002108478,0.001370998,0.003546999,0.0007781097,0.0008059054,0.003254208,0.002478683,0.003187319,0.01526046],"category_scores_gemma":[0.007314381,0.001321949,0.001209841,0.0011881,0.00162182,0.003480279,0.003213963,0.003723545,0.001439156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001360852,"about_ca_system_score_gemma":0.002052021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004334575,"about_ca_topic_score_gemma":0.003706513,"domain_scores_codex":[0.9990804,0.000401016,0.00003128552,0.0001868189,0.000161638,0.0001387412],"domain_scores_gemma":[0.9972958,0.002051795,0.0001039233,0.0001867662,0.0001765288,0.0001852193],"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":[0.0003149096,0.0002459629,0.0003269332,0.0002580279,0.0000593724,0.0001228629,0.00007712511,0.8685233,0.0006049901,0.07994977,0.008667388,0.04084927],"study_design_scores_gemma":[0.0000250475,0.00003550129,0.00003564829,0.00001828684,0.000007423144,0.00001610659,0.0000150992,0.9803466,0.0001110896,0.01848298,0.0009000211,0.000006227644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01919891,0.0008270659,0.9553427,0.0006685635,0.0002417177,0.0001090099,0.0002231416,0.0003628868,0.02302605],"genre_scores_gemma":[0.5533401,0.0008620321,0.4153903,0.0003683103,0.0002710252,0.0004636547,0.0005052636,0.0006500522,0.02814914],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01526046,"threshold_uncertainty_score":0.05105132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076557083709737,"score_gpt":0.2236069664850093,"score_spread":0.212841395647912,"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."}}