{"id":"W2017383000","doi":"10.1007/s10288-002-0009-8","title":"The Dial-a-Ride Problem (DARP): Variants, modeling issues and algorithms","year":2003,"lang":"en","type":"article","venue":"4OR","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":334,"is_retracted":false,"has_abstract":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Set (abstract data type); Computer science; Plan (archaeology); Destinations; Operations research; Algorithm; Mathematical optimization; Engineering; Mathematics; Geography; Programming language","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":[0.00479664,0.001651171,0.003860016,0.001294024,0.00148296,0.005735183,0.005864343,0.006763476,0.007627253],"category_scores_gemma":[0.01660343,0.001633031,0.00213064,0.004567868,0.003070304,0.01179011,0.004385687,0.004154083,0.0008278997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002087992,"about_ca_system_score_gemma":0.002058789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009737788,"about_ca_topic_score_gemma":0.006790852,"domain_scores_codex":[0.9966492,0.00167917,0.0001553726,0.0009098882,0.0002997157,0.0003065261],"domain_scores_gemma":[0.9929765,0.005194021,0.000617695,0.0004723416,0.0003893015,0.0003501241],"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":[0.0000893316,0.0001358434,0.0009711398,0.0003679986,0.00009699129,0.0001565543,0.0001351338,0.4745326,0.00015581,0.4711137,0.01492016,0.03732466],"study_design_scores_gemma":[0.00002682704,0.00003360827,0.000190016,0.00005031082,0.000028947,0.0001318958,0.000113324,0.6421881,0.0001071093,0.351687,0.005411539,0.00003120672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01867987,0.003876516,0.9613453,0.004210703,0.0003693939,0.0001338407,0.0008548477,0.0001789503,0.01035054],"genre_scores_gemma":[0.5464395,0.007971244,0.4141618,0.0008860312,0.001427018,0.0005570328,0.001994111,0.0003070986,0.02625626],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009737788,"threshold_uncertainty_score":0.02551568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01277443178779052,"score_gpt":0.2283156917083634,"score_spread":0.2155412599205729,"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."}}