{"id":"W4377249859","doi":"10.1007/978-3-031-33271-5_6","title":"A Mixed-Integer Linear Programming Reduction of Disjoint Bilinear Programs via Symbolic Variable Elimination","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vector Institute; University of Toronto","funders":"","keywords":"Computer science; Reduction (mathematics); Bilinear interpolation; Mathematical optimization; Integer programming; Leverage (statistics); Linear programming; Variable elimination; Algorithm; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00137549,0.0004009824,0.0005750329,0.0009924979,0.000161202,0.0001177249,0.0007363023,0.0003439292,0.0000254928],"category_scores_gemma":[0.0008262483,0.0003633166,0.000121804,0.001382059,0.0007333302,0.0002861418,0.0004944868,0.0007963909,0.00002373208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003332219,"about_ca_system_score_gemma":0.0003744288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001926385,"about_ca_topic_score_gemma":0.00002087053,"domain_scores_codex":[0.9963298,0.00004964349,0.0007840156,0.0009642546,0.001289909,0.0005823427],"domain_scores_gemma":[0.9971789,0.0004680646,0.0004632088,0.0007879811,0.0009750868,0.0001267943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001955227,0.0001589205,0.000005046309,0.000440908,0.00002872752,0.00001450772,0.0007985011,0.1277419,0.0002760027,0.02174428,0.000007362361,0.8487643],"study_design_scores_gemma":[0.0002074647,0.0002255882,0.000002425018,0.0007237713,0.00001973203,0.00003694682,0.000002393783,0.7831269,0.00207562,0.2129567,0.0002765081,0.000345943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00004688886,0.00004149876,0.9971049,0.0001834625,0.000803355,0.001231776,0.00000602484,0.0002613165,0.0003208105],"genre_scores_gemma":[0.005318808,0.00003540819,0.9924594,0.00001575879,0.0004360544,0.00006212651,0.00004366739,0.0001109161,0.001517883],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8484184,"threshold_uncertainty_score":0.9998819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05602265575196789,"score_gpt":0.3241523219026889,"score_spread":0.268129666150721,"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."}}