{"id":"W7095288794","doi":"","title":"University of Alberta Generalized Quadratically Constrained Quadratic Programming and its Applications in Array Processing and Cooperative Communications","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quadratic growth; Generalization; Permission; Quadratic programming; Quadratic equation; Quadratically constrained quadratic program; Association (psychology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002728091,0.00009879889,0.0002197712,0.00009015784,0.0001321322,0.00003226508,0.0001665682,0.00005426144,0.00001896559],"category_scores_gemma":[0.0005843865,0.0000940749,0.00001134369,0.000364456,0.0003429198,0.0002186248,0.000105644,0.00009578327,0.000001357067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000381018,"about_ca_system_score_gemma":0.000201024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009313424,"about_ca_topic_score_gemma":0.001384744,"domain_scores_codex":[0.999166,0.0001395536,0.0002389815,0.0001745012,0.0001395447,0.0001414721],"domain_scores_gemma":[0.9985034,0.0005944583,0.00009484573,0.0002419003,0.0004313377,0.0001340533],"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":[0.000102737,0.001141267,0.002666393,0.0006139678,0.00009515409,0.000003689913,0.04070276,0.0008420403,0.003314975,0.9307597,0.00007063683,0.01968669],"study_design_scores_gemma":[0.007139062,0.0002875371,0.0002151884,0.0002760098,0.0001103971,0.00003210937,0.064459,0.881258,0.001859286,0.04083127,0.002711364,0.0008207864],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02690289,0.0004299425,0.9625249,0.001583359,0.000004491337,0.00186612,0.000008087318,0.0000621123,0.006618085],"genre_scores_gemma":[0.3833491,0.00007306398,0.6156309,0.00001248469,0.00000305396,0.0000219597,0.00001454714,0.0000111548,0.00088369],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8899284,"threshold_uncertainty_score":0.3836263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08391273288734713,"score_gpt":0.3631820799621854,"score_spread":0.2792693470748383,"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."}}