{"id":"W1534949176","doi":"10.1515/ans-2011-0206","title":"Homogenization of Maximal Monotone Vector Fields via Selfdual Variational Calculus","year":2011,"lang":"en","type":"preprint","venue":"Advanced Nonlinear Studies","topic":"Advanced Mathematical Modeling in Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University; Consejo Nacional de Ciencia y Tecnología","keywords":"Homogenization (climate); Monotone polygon; Mathematics; Regular polygon; Applied mathematics; Calculus of variations; Mathematical analysis; Pure mathematics; Geometry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001700096,0.00036154,0.0006509142,0.0001309364,0.00008290098,0.0000189664,0.0007260625,0.0001964644,0.000005303328],"category_scores_gemma":[0.0003150424,0.0003501263,0.0001431063,0.0002391595,0.00007968696,0.0002553797,0.00159548,0.000417939,0.00001341554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000922587,"about_ca_system_score_gemma":0.00007351422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007715518,"about_ca_topic_score_gemma":0.000004097393,"domain_scores_codex":[0.9980441,0.00002637761,0.0006422654,0.0006093685,0.0003708467,0.000306991],"domain_scores_gemma":[0.9980687,0.0002139851,0.0003447768,0.0007582774,0.0005465898,0.00006769739],"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":[0.00002944181,0.0002826119,0.00002915633,0.000892752,0.000554756,0.00001426531,0.003973253,0.9260545,0.0006910584,0.05377734,0.00002691918,0.01367399],"study_design_scores_gemma":[0.0003517285,0.0001049367,0.0001144077,0.0002457612,0.00005977004,0.000006229307,0.00003976512,0.9165446,0.004181725,0.07776262,0.00009194267,0.000496481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003602738,0.00169752,0.9927139,0.0001109212,0.001053074,0.0003452756,0.00003041144,0.0002667693,0.0001793559],"genre_scores_gemma":[0.1949296,0.0003043515,0.8043796,0.00003522244,0.0001586579,0.00008535479,0.00002286137,0.00003252057,0.00005187251],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1913268,"threshold_uncertainty_score":0.9998951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03646400504515374,"score_gpt":0.294761696109789,"score_spread":0.2582976910646353,"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."}}