{"id":"W4405122619","doi":"10.5267/j.ijiec.2024.10.002","title":"The vehicle routing problem as applied to residential solid waste collection operations: Systematic literature review","year":2024,"lang":"en","type":"article","venue":"International Journal of Industrial Engineering Computations","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministério da Ciência, Tecnologia e Inovação","keywords":"Vehicle routing problem; Municipal solid waste; Computer science; Routing (electronic design automation); Waste management; Operations research; Environmental science; Engineering; Computer network","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004578461,0.00014561,0.0002248924,0.000281185,0.00009915217,0.0005174817,0.000308329,0.00007620322,0.000007316587],"category_scores_gemma":[0.0002444061,0.0001128401,0.0001156,0.0005668268,0.00001165627,0.0001860741,0.00001793134,0.0004711748,0.00002033829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002129737,"about_ca_system_score_gemma":0.000106955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003104232,"about_ca_topic_score_gemma":0.000004959721,"domain_scores_codex":[0.9985105,0.00002439339,0.0008113174,0.00008557668,0.0004230633,0.0001451159],"domain_scores_gemma":[0.9991704,0.0002436257,0.00005805348,0.00008527724,0.000356357,0.00008626283],"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":[0.000009681087,0.000009053812,0.000001138204,0.001254091,0.0003397433,0.00005678417,0.0003920133,0.98093,0.0004909927,0.008082684,0.007952516,0.0004813137],"study_design_scores_gemma":[0.0006808038,0.0001086153,0.00001215977,0.08821435,0.0003043147,0.0005316654,0.0001458406,0.9013432,0.001093435,0.0003707148,0.006830617,0.000364268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007127967,0.05836143,0.9002717,0.005145924,0.02472998,0.002207757,0.00007579515,0.0006911203,0.001388339],"genre_scores_gemma":[0.9918838,0.00313564,0.0020735,0.0001100418,0.002506333,0.00005190813,0.00002615499,0.00004875072,0.0001638399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9847559,"threshold_uncertainty_score":0.4990088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01993316916813459,"score_gpt":0.2496243716994817,"score_spread":0.2296912025313471,"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."}}