{"id":"W4212892245","doi":"10.23952/jano.1.2019.3.04","title":"Solving bilevel problems with polyhedral constraint set","year":2019,"lang":"en","type":"article","venue":"Journal of Applied and Numerical Optimization","topic":"Optimization and Mathematical Programming","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bilevel optimization; Constraint (computer-aided design); Set (abstract data type); Mathematical optimization; Computer science; Mathematics; Optimization problem; Geometry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002191634,0.001239254,0.002004501,0.0007234642,0.0006532469,0.003276002,0.001363153,0.002144968,0.005055183],"category_scores_gemma":[0.009234932,0.0009222008,0.001300698,0.001428221,0.001915388,0.002734808,0.003155644,0.003800201,0.0005982689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009026272,"about_ca_system_score_gemma":0.001491076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002039081,"about_ca_topic_score_gemma":0.001869457,"domain_scores_codex":[0.998683,0.0005092264,0.00006848984,0.0002270596,0.0003274742,0.0001847562],"domain_scores_gemma":[0.9966726,0.002623398,0.000176969,0.0001691876,0.0002402023,0.0001175736],"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":[0.0000510074,0.00006005167,0.0003587688,0.0002512212,0.00004434411,0.00008722581,0.0001000161,0.8872322,0.0007550749,0.08749824,0.0007194668,0.02284235],"study_design_scores_gemma":[0.00001549193,0.00004450815,0.00004376666,0.00003519135,0.000006741685,0.00003139691,0.00004534934,0.9137351,0.0006128313,0.08419066,0.001228336,0.00001064826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01045274,0.000233175,0.9859928,0.0002277587,0.00003078677,0.0000393907,0.00004616277,0.00009728275,0.002879902],"genre_scores_gemma":[0.3926821,0.0009857793,0.5985345,0.0002953185,0.00009860881,0.000431877,0.0004230793,0.0003053355,0.006243515],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005055183,"threshold_uncertainty_score":0.01691127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007189926153251263,"score_gpt":0.192162866143637,"score_spread":0.1849729399903858,"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."}}