{"id":"W2141557529","doi":"10.1007/0-387-25036-0_9","title":"Recent Trends in Arc Routing","year":2005,"lang":"en","type":"book-chapter","venue":"","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis","funders":"","keywords":"Arc routing; Arc (geometry); Traverse; Heuristic; Routing (electronic design automation); Vehicle routing problem; Computer science; Mathematical optimization; Enhanced Data Rates for GSM Evolution; Operations research; Mathematics; Geography; Computer network; Artificial intelligence; Cartography; Geometry","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":[0.0007003536,0.001143253,0.000786201,0.001855864,0.0004728991,0.002452433,0.001890845,0.001072349,0.03812961],"category_scores_gemma":[0.001627369,0.0007267784,0.0006069457,0.005430609,0.0009908736,0.004453066,0.001312189,0.00249368,0.01562459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001457308,"about_ca_system_score_gemma":0.001501633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00236937,"about_ca_topic_score_gemma":0.003894395,"domain_scores_codex":[0.9993342,0.0001193272,0.00002406223,0.0001201562,0.0003650538,0.00003730718],"domain_scores_gemma":[0.9993611,0.000277828,0.00002256946,0.0001074176,0.000195938,0.00003516504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001632035,0.00005405081,0.00008794095,0.0006551578,0.00001689884,0.00002896165,0.00008507101,0.01256176,0.000680013,0.2461003,0.1096512,0.6300623],"study_design_scores_gemma":[0.00000397864,0.00001569189,0.0000927938,0.0001863272,0.00001115991,0.0001012094,0.00004265582,0.01050549,0.0003989164,0.0906129,0.8980172,0.00001176653],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.001817897,0.1425725,0.3886885,0.005547075,0.004450399,0.0001017824,0.000342507,0.001697676,0.4547816],"genre_scores_gemma":[0.02050155,0.2277498,0.2401381,0.002003618,0.00329601,0.000188254,0.0009013838,0.001338201,0.5038829],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03812961,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03149969619143034,"score_gpt":0.2711487217148347,"score_spread":0.2396490255234044,"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."}}