{"id":"W2276338813","doi":"","title":"Remarks on Solutions to a Nonconvex Quadratic Programming Test Problem","year":2008,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal; Polytechnique Montréal; Group for Research in Decision Analysis","funders":"","keywords":"Mathematics; Quadratic programming; Mathematical optimization; Quadratic equation; Selection (genetic algorithm); Test (biology); Sequential quadratic programming; Computer science; Artificial intelligence","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":[0.0008454348,0.0004393853,0.0004948298,0.0007382923,0.0008142028,0.0001308816,0.0006191323,0.00028146,0.00009651677],"category_scores_gemma":[0.003163829,0.0004380773,0.0001769444,0.001461467,0.0001636231,0.0003316777,0.0003068848,0.0007249693,0.0001399499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008932647,"about_ca_system_score_gemma":0.0004450153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006130607,"about_ca_topic_score_gemma":0.001063333,"domain_scores_codex":[0.9962814,0.0001669693,0.000734707,0.0006616591,0.0008501665,0.001305046],"domain_scores_gemma":[0.9967337,0.0009019059,0.0002349373,0.001090032,0.0003861281,0.0006533588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009019588,0.01435831,0.02437321,0.001129687,0.0005362519,0.002048666,0.01138048,0.1006167,0.01692119,0.4954761,0.1358749,0.1963825],"study_design_scores_gemma":[0.005180982,0.004830702,0.007995959,0.001357761,0.0001777029,0.002191375,0.001367941,0.8163353,0.02324922,0.0981866,0.03432531,0.004801207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005064302,0.0001085597,0.9818808,0.006180893,0.00005588433,0.003015873,0.00003221769,0.001385738,0.002275705],"genre_scores_gemma":[0.1032803,0.00007803804,0.8869374,0.001139412,0.0001404694,0.002388546,0.00002032405,0.0001570734,0.005858469],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7157185,"threshold_uncertainty_score":0.9998071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03462078059223334,"score_gpt":0.3030269828929664,"score_spread":0.268406202300733,"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."}}