{"id":"W2737096452","doi":"10.1007/978-1-4615-0819-9_1","title":"Recent Algorithmic Advances for Arc Routing Problems","year":2002,"lang":"en","type":"book-chapter","venue":"International series in management science/operations research/International series in operations research & management science","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Group for Research in Decision Analysis","funders":"","keywords":"Arc routing; Heuristics; Arc (geometry); Routing (electronic design automation); Computer science; Carp; Mathematical optimization; Mathematics; Fish <Actinopterygii>; Engineering; Fishery; Biology; Computer network; Mechanical engineering","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":[0.004958618,0.002571615,0.001747797,0.003365499,0.001025075,0.004524036,0.004336642,0.002685062,0.01015066],"category_scores_gemma":[0.01294789,0.001412789,0.001900852,0.006221422,0.003091524,0.008130683,0.003082806,0.00730866,0.003617983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002282193,"about_ca_system_score_gemma":0.001858132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002394784,"about_ca_topic_score_gemma":0.00245922,"domain_scores_codex":[0.9973145,0.000877786,0.0001497033,0.0003731528,0.001135208,0.0001497296],"domain_scores_gemma":[0.9941977,0.004043154,0.000161731,0.0005970849,0.0008548882,0.0001454002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005688488,0.0001340206,0.0003114323,0.001069815,0.00007535045,0.00006206262,0.0001419422,0.03828811,0.0003483502,0.6531695,0.03496137,0.2713813],"study_design_scores_gemma":[0.00003045573,0.00003514866,0.0002494512,0.0002923613,0.0000415345,0.0001351992,0.0000621272,0.1068589,0.0003144587,0.7651535,0.1268012,0.00002569202],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004727088,0.282642,0.5908287,0.0102739,0.003549983,0.0001116007,0.0003056356,0.0004471373,0.1071141],"genre_scores_gemma":[0.080199,0.2868401,0.5679913,0.003092516,0.01532878,0.0004523905,0.00141647,0.0006914802,0.04398797],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01015066,"threshold_uncertainty_score":0.03395736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07737141157025106,"score_gpt":0.4023260121303807,"score_spread":0.3249546005601296,"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."}}