{"id":"W2765287882","doi":"10.15807/jorsj.60.419","title":"SMALL DEGENERATE SIMPLICES CAN BE BAD FOR SIMPLEX METHODS","year":2017,"lang":"en","type":"article","venue":"Journal of the Operations Research Society of Japan","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Japan Society for the Promotion of Science","keywords":"Simplex; Degeneracy (biology); Simplex algorithm; Degenerate energy levels; Exponential function; Mathematics; Combinatorics; Constraint (computer-aided design); Matrix (chemical analysis); Mathematical optimization; Computer science; Algorithm; Linear programming; Physics; Mathematical analysis; Geometry","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":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.007219483,0.0001415617,0.0003791557,0.0001111323,0.00253414,0.0003806545,0.001805345,0.0001210932,0.00008080561],"category_scores_gemma":[0.008500899,0.00009535412,0.0004969179,0.0002587039,0.0006962701,0.0003785565,0.0004685,0.0007037973,7.69218e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002038583,"about_ca_system_score_gemma":0.0007786382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001024269,"about_ca_topic_score_gemma":0.0003640989,"domain_scores_codex":[0.9971572,0.0006249683,0.0006896493,0.0001834964,0.0008884084,0.0004562981],"domain_scores_gemma":[0.9930896,0.001579367,0.0004078829,0.0009529788,0.003783731,0.0001864254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004345177,0.002044086,0.001250197,0.001179824,0.003022176,0.000002915515,0.02862426,0.1474092,0.3478555,0.07660477,0.2254879,0.1660847],"study_design_scores_gemma":[0.004444603,0.0009100522,0.001099502,0.0003056663,0.0001615987,0.0000626273,0.0101427,0.5983154,0.2648247,0.07950851,0.03965524,0.0005693121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1149064,0.0002447615,0.8138879,0.06765763,0.0003697268,0.002071583,0.0001804554,0.00001969981,0.0006617933],"genre_scores_gemma":[0.03138841,0.0003085702,0.9627044,0.0001428066,0.00032817,0.00004788162,0.000003281362,0.00004332782,0.005033108],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4509063,"threshold_uncertainty_score":0.9998509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4307545666371888,"score_gpt":0.5584178816665836,"score_spread":0.1276633150293948,"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."}}