{"id":"W1965468942","doi":"10.1007/s10898-008-9371-1","title":"A new Lagrangean approach to the pooling problem","year":2008,"lang":"en","type":"article","venue":"Journal of Global Optimization","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Mathematics; Heuristics; Mathematical optimization; Benchmark (surveying); Pooling; Relaxation (psychology); Nonlinear system; Upper and lower bounds; Set (abstract data type); Bilinear interpolation; Function (biology); Nonlinear programming; Applied mathematics; Computer science; Statistics; 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":[0.003403685,0.001079137,0.001288496,0.0008627155,0.0009471772,0.00208701,0.002952564,0.002042107,0.007391117],"category_scores_gemma":[0.006041137,0.0008918954,0.00121415,0.001182031,0.001813693,0.004827939,0.004119455,0.003295987,0.001092565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00131794,"about_ca_system_score_gemma":0.002009665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002028992,"about_ca_topic_score_gemma":0.00275561,"domain_scores_codex":[0.9988556,0.0005319312,0.00005741433,0.0001967111,0.0002830472,0.00007534365],"domain_scores_gemma":[0.9988157,0.0006416823,0.00008646946,0.0001371864,0.000208731,0.000110329],"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":[0.00005951387,0.00006962623,0.0001823123,0.0001035862,0.00007431774,0.00009391203,0.0001123281,0.1059514,0.002011233,0.8392683,0.005534693,0.04653865],"study_design_scores_gemma":[0.0000199854,0.00003272189,0.00006800726,0.0000166442,0.00001919316,0.00005369484,0.0000143119,0.6471155,0.000459132,0.3468091,0.005372772,0.00001899077],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002109959,0.0002295132,0.9925709,0.0004978134,0.00009143956,0.00001735402,0.00003433741,0.00003818204,0.00441054],"genre_scores_gemma":[0.136737,0.001135613,0.8228672,0.0007800974,0.0008670068,0.000321204,0.000253876,0.0003976162,0.03664048],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007391117,"threshold_uncertainty_score":0.02472579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05188978761513707,"score_gpt":0.332848798223235,"score_spread":0.280959010608098,"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."}}