{"id":"W3122987013","doi":"10.1287/ijoc.2021.1138","title":"Inverse Mixed Integer Optimization: Polyhedral Insights and Trust Region Methods","year":2022,"lang":"en","type":"article","venue":"INFORMS journal on computing","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cutting-plane method; Mathematical optimization; Set (abstract data type); Optimization problem; Integer (computer science); Inverse; Discrete optimization; Integer programming; Computer science; Inverse problem; Mathematics","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":[0.003908367,0.001662303,0.0018036,0.001021552,0.0004909103,0.002614368,0.001947071,0.001897232,0.003299718],"category_scores_gemma":[0.01573702,0.001266838,0.001238088,0.001270307,0.002557012,0.003025107,0.00338897,0.004463932,0.0009715641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001186999,"about_ca_system_score_gemma":0.001482706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002511184,"about_ca_topic_score_gemma":0.001839816,"domain_scores_codex":[0.9978819,0.00105855,0.00008705571,0.0002713719,0.0006090457,0.00009193672],"domain_scores_gemma":[0.9921086,0.006080439,0.0006271,0.0004789096,0.0005451177,0.0001598584],"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":[0.00005278315,0.00004299092,0.0003618495,0.0002638362,0.0000438759,0.0000698418,0.0001184187,0.808186,0.0008940765,0.155351,0.002185489,0.03242976],"study_design_scores_gemma":[0.000007762077,0.00001913026,0.00003148715,0.00003604691,0.000005460496,0.00002057406,0.00001226276,0.9595456,0.0002752978,0.03855106,0.001487618,0.000007633937],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008431544,0.0005906032,0.9965566,0.0002115252,0.00003006903,0.00002125739,0.00002163103,0.00004456196,0.001680612],"genre_scores_gemma":[0.2415647,0.004830686,0.7470264,0.0004057375,0.0004054849,0.0005158413,0.0002778872,0.0003061349,0.004667141],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003908367,"threshold_uncertainty_score":0.02066964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07202007146734461,"score_gpt":0.388851660018231,"score_spread":0.3168315885508863,"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."}}