{"id":"W2085543268","doi":"10.1016/j.cor.2009.05.005","title":"The undirected capacitated arc routing problem with profits","year":2009,"lang":"en","type":"article","venue":"Computers & Operations Research","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis","funders":"","keywords":"Heuristics; Arc routing; Mathematical optimization; Profit (economics); Vehicle routing problem; Computer science; Undirected graph; Graph; Enhanced Data Rates for GSM Evolution; Mathematics; Routing (electronic design automation); Theoretical computer science; Economics; Artificial intelligence; Microeconomics","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":[0.0009914463,0.000960232,0.0008331366,0.0007837229,0.0005713467,0.002467408,0.001778136,0.001487973,0.004527866],"category_scores_gemma":[0.004345144,0.0005545256,0.0006266527,0.002053316,0.001053627,0.00289476,0.001117905,0.001503843,0.0005957297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001555182,"about_ca_system_score_gemma":0.001356985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002487249,"about_ca_topic_score_gemma":0.002179079,"domain_scores_codex":[0.9990821,0.0003751761,0.0000345095,0.0002102251,0.0001847746,0.00011324],"domain_scores_gemma":[0.9987372,0.0008873954,0.0000928031,0.00007842766,0.0001200405,0.00008425236],"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":[0.0001028495,0.0001010938,0.0005641684,0.0002221838,0.00006674667,0.0002533414,0.00007821438,0.5993224,0.0009084297,0.3259954,0.009494534,0.06289059],"study_design_scores_gemma":[0.00002513843,0.00002905598,0.0002665985,0.00002971602,0.00003365934,0.0001234455,0.00005656136,0.6160629,0.0005435773,0.3766263,0.006185536,0.00001742196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06863608,0.001664129,0.8746058,0.002888181,0.0002358464,0.0001241305,0.0009379663,0.000243815,0.05066412],"genre_scores_gemma":[0.7720742,0.002448079,0.1893062,0.0004080295,0.0003015558,0.0002306674,0.001006812,0.0002744936,0.03395016],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004527866,"threshold_uncertainty_score":0.01514721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04565464621143744,"score_gpt":0.3336104762566733,"score_spread":0.2879558300452358,"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."}}