{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001371411,0.00005866845,0.00005357043,0.00001899583,0.0001032004,0.00003602591,0.00003629037,0.00002646798,0.00001992563],"category_scores_gemma":[0.00001638678,0.00004592397,0.00001275672,0.00009605316,0.00001561078,0.00006461376,0.000001697398,0.00006583569,0.000009342646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007746425,"about_ca_system_score_gemma":0.000009576843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002185535,"about_ca_topic_score_gemma":0.00004362015,"domain_scores_codex":[0.999619,0.000007566172,0.0001339907,0.00007207289,0.00005812266,0.0001092317],"domain_scores_gemma":[0.9998161,0.00002023002,0.000007543263,0.0001013409,0.00002971213,0.00002508373],"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":[0.00001192759,0.0001015591,0.002040456,0.0002341623,0.000237463,0.00001248117,0.005556066,0.4195966,0.007969773,0.4657399,0.004866477,0.09363309],"study_design_scores_gemma":[0.0009164175,0.00003268898,0.005241127,0.0000490079,0.00004945522,0.00001555959,0.000830124,0.6679586,0.003010333,0.01668689,0.3047029,0.0005068228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4340312,0.004927665,0.5269641,0.002472498,0.001235,0.001058458,0.00006886179,0.001192388,0.0280498],"genre_scores_gemma":[0.9896299,0.0003273995,0.009438293,0.00004575157,0.00003588316,0.00003617498,0.000007968618,0.00001552519,0.0004631133],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5555987,"threshold_uncertainty_score":0.1872725,"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."}}