{"id":"W2110620774","doi":"10.1287/opre.1120.1154","title":"An Exact Algorithm for the Capacitated Arc Routing Problem with Deadheading Demand","year":2013,"lang":"en","type":"article","venue":"Operations Research","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Arc routing; Benchmark (surveying); Column generation; Mathematical optimization; Routing (electronic design automation); Computer science; Vehicle routing problem; Arc (geometry); Enhanced Data Rates for GSM Evolution; Mathematics; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001937736,0.0001159581,0.0001099739,0.000148295,0.0009898954,0.0006153723,0.0002566644,0.00006207843,0.0001080826],"category_scores_gemma":[0.0001502446,0.00007962452,0.00002141183,0.000608719,0.00008782712,0.0004872853,0.00002258274,0.0003472824,0.00004237916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009857536,"about_ca_system_score_gemma":0.00007030009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002946126,"about_ca_topic_score_gemma":0.0001256765,"domain_scores_codex":[0.9985572,0.0002501241,0.0002057683,0.0002077722,0.0003053408,0.0004737634],"domain_scores_gemma":[0.9983743,0.0005444712,0.000008598156,0.0003365917,0.0006281308,0.0001078849],"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":[0.00000160017,0.00001677974,0.0001273809,0.00001506708,0.00003363442,4.744958e-7,0.00107524,0.9432998,0.008313262,0.0005574081,0.0002755656,0.04628374],"study_design_scores_gemma":[0.0002513604,0.00008240913,0.0003018955,0.00002623307,0.000006502584,0.000006574396,0.0008210493,0.9944617,0.003664869,0.0000497719,0.0002107609,0.0001169103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04350312,0.00004992125,0.9534964,0.0003322632,0.00003522759,0.001401304,0.000008793168,0.000187957,0.000985043],"genre_scores_gemma":[0.4809456,0.00001253589,0.5177647,0.00001234787,0.00008536769,0.0007118451,0.00002058202,0.00004592886,0.0004011389],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4374425,"threshold_uncertainty_score":0.7613575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05729250841713738,"score_gpt":0.3586774357342097,"score_spread":0.3013849273170723,"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."}}