{"id":"W2070115034","doi":"10.1002/atr.5670370302","title":"The car pooling problem: Heuristic algorithms based on savings functions","year":2003,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pooling; Heuristic; Matching (statistics); Computer science; Order (exchange); Mathematical optimization; Scheme (mathematics); Macro; Algorithm; Operations research; Engineering; Mathematics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.00159083,0.0009281324,0.001223346,0.001126968,0.0005906068,0.001093919,0.001662342,0.001309092,0.003918881],"category_scores_gemma":[0.003157449,0.0005506082,0.0005376388,0.001104191,0.000910403,0.001679954,0.00155921,0.0007740628,0.0003668089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001325994,"about_ca_system_score_gemma":0.00142684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006098452,"about_ca_topic_score_gemma":0.003769755,"domain_scores_codex":[0.9995509,0.0001906655,0.00001912477,0.00006735029,0.00006042598,0.0001114935],"domain_scores_gemma":[0.9988746,0.0007748015,0.00009526691,0.000103781,0.00006880888,0.0000827676],"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":[0.0002356872,0.0001415268,0.0007418848,0.00006829641,0.00004033902,0.00004884212,0.0001187404,0.8902701,0.0006360112,0.03144871,0.002006676,0.07424314],"study_design_scores_gemma":[0.00002760804,0.0000255126,0.00006287766,0.00000584292,0.000007406224,0.000007568549,0.0000216164,0.9911045,0.0002312737,0.008185315,0.0003170484,0.00000341415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1940842,0.0005490279,0.7928654,0.0006106555,0.00004750724,0.0002533948,0.0001399584,0.0007120686,0.0107378],"genre_scores_gemma":[0.7354968,0.0002448044,0.2594307,0.0001358362,0.0000394136,0.0002999612,0.0002342159,0.0001167654,0.004001565],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006098452,"threshold_uncertainty_score":0.01310998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0109127590077696,"score_gpt":0.2680193243155324,"score_spread":0.2571065653077628,"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."}}