{"id":"W2165150777","doi":"","title":"Estimating convexifiers in continuous optimization","year":2003,"lang":"en","type":"article","venue":"University of Zagreb University Computing Centre (SRCE)","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Mathematics; Nonlinear programming; Simple (philosophy); Convex optimization; Mathematical optimization; Regular polygon; Applied mathematics; Nonlinear system; Quadratic programming; Convex function; Sequential quadratic programming; Convex analysis; Derivative (finance); Quadratic equation; Function (biology); 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003685137,0.0001818348,0.0003546055,0.0003980925,0.0002737408,0.00001473479,0.0003585604,0.0001331561,0.0003670743],"category_scores_gemma":[0.0004336971,0.0002576491,0.00009759859,0.0007344459,0.0002109443,0.0002600559,0.0001688439,0.0002647998,0.00001148889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003579006,"about_ca_system_score_gemma":0.0001332407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000105773,"about_ca_topic_score_gemma":0.00004997377,"domain_scores_codex":[0.998389,0.0003168767,0.0002093522,0.0003689006,0.000318,0.0003978533],"domain_scores_gemma":[0.9985261,0.0004512705,0.0002899388,0.0002734122,0.000320053,0.0001392139],"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":[0.00008241992,0.0002701156,0.001046392,0.0001103589,0.00006640466,0.0002401083,0.05350237,0.922412,0.00002960491,0.02025061,0.0004715762,0.001518041],"study_design_scores_gemma":[0.002532803,0.00003702426,0.00009533123,0.0001508278,0.00003851722,0.00001010968,0.1907804,0.8051583,0.00008083135,0.0005812909,0.000222089,0.0003125131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.21533,0.000009515815,0.7793912,0.00008923803,0.0001137613,0.0002919838,0.000008402117,0.0001209439,0.004644906],"genre_scores_gemma":[0.5209793,0.00001082757,0.4773185,0.00000806806,0.00000863358,4.601438e-12,0.000009961537,0.00001340466,0.001651281],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3056493,"threshold_uncertainty_score":0.9999876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01674756585060739,"score_gpt":0.2464945571181622,"score_spread":0.2297469912675549,"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."}}