{"id":"W2010172845","doi":"10.1080/10286600215050","title":"Reduction of queuing delays at waste management facilities","year":2002,"lang":"en","type":"article","venue":"Civil Engineering and Environmental Systems","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Queueing theory; Truck; Computer science; Crew; Workload; Queue; Operations research; Reduction (mathematics); Work (physics); Transport engineering; Engineering; Automotive engineering; Computer network","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":[0.001106027,0.0005618786,0.0003296838,0.0008551838,0.000631671,0.001211824,0.0009722521,0.0004767908,0.002242804],"category_scores_gemma":[0.004750017,0.0002981105,0.0003011117,0.0007934403,0.0004310637,0.0009332626,0.000485067,0.0004461833,0.0002952652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001938766,"about_ca_system_score_gemma":0.003066023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00688351,"about_ca_topic_score_gemma":0.006866506,"domain_scores_codex":[0.9987074,0.0003492459,0.00005147277,0.000138224,0.0003648694,0.0003887653],"domain_scores_gemma":[0.9965139,0.001715921,0.000592127,0.0003368246,0.000662841,0.0001783904],"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":[0.000758255,0.0005082177,0.01205083,0.0002443167,0.00008533004,0.0001381976,0.0002364655,0.7259813,0.07307366,0.02087081,0.00148982,0.1645627],"study_design_scores_gemma":[0.00007938607,0.0009314793,0.007681979,0.00002502596,0.0001153781,0.0001500132,0.0002363097,0.8993633,0.07868681,0.007961394,0.004707475,0.00006144223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7689154,0.0006033503,0.2208164,0.0002705249,0.00007163763,0.00006500381,0.0001513465,0.0013563,0.007749943],"genre_scores_gemma":[0.9849067,0.0001048175,0.01405193,0.00001853439,0.00001151934,0.00001540575,0.00006208163,0.00002803832,0.000801001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00688351,"threshold_uncertainty_score":0.01406676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007819884522333145,"score_gpt":0.1507015328230681,"score_spread":0.1428816483007349,"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."}}