{"id":"W2006009715","doi":"10.1016/j.ejor.2005.08.023","title":"Exact and heuristic procedures for the material handling circular flow path design problem","year":2006,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Pickup; Heuristic; Mathematical optimization; Integer programming; Computer science; Path (computing); Shortest path problem; Linear programming; Set (abstract data type); Loop (graph theory); Mathematics; Theoretical computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002045803,0.001117685,0.001275001,0.001626705,0.00078112,0.00123405,0.001422179,0.001803702,0.005715665],"category_scores_gemma":[0.006432605,0.0009032713,0.001007114,0.001511292,0.001093015,0.001177497,0.001034669,0.001540193,0.0005657463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001376926,"about_ca_system_score_gemma":0.002875059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008754562,"about_ca_topic_score_gemma":0.009376166,"domain_scores_codex":[0.99914,0.000328669,0.00003932398,0.0000923692,0.0002788824,0.0001207991],"domain_scores_gemma":[0.9966254,0.002579747,0.0001954512,0.0002015271,0.0003220956,0.00007575369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009709052,0.00007479926,0.0001872544,0.00008438902,0.00001715568,0.00002288518,0.00004576252,0.9261581,0.0005910558,0.01231705,0.0009156045,0.05948874],"study_design_scores_gemma":[0.00004744005,0.00004185576,0.00007468423,0.00001226345,0.000008398034,0.00001055918,0.00001513442,0.9898897,0.0002452831,0.009090453,0.0005570301,0.000007201946],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01865659,0.0003720753,0.9742268,0.0001443959,0.00005386669,0.0001413957,0.00009830124,0.0003439355,0.005962715],"genre_scores_gemma":[0.2008531,0.0003551067,0.7949843,0.0001101993,0.00006345508,0.0003938786,0.0002427222,0.0001377529,0.002859483],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008754562,"threshold_uncertainty_score":0.01912081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04361864560021306,"score_gpt":0.2854167476683341,"score_spread":0.241798102068121,"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."}}