{"id":"W2218705109","doi":"10.1017/cbo9780511803642.008","title":"Numerical optimization","year":2007,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Electromagnetic Scattering and Analysis","field":"Physics and Astronomy","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science","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":[0.00004575128,0.0002460321,0.0002752752,0.000132575,0.0001223222,0.00003187377,0.0002350085,0.0001262077,0.00009738252],"category_scores_gemma":[6.551429e-7,0.0002960095,0.000234677,0.00001004514,0.00007062042,0.00003096139,0.00007921016,0.0002874144,0.0000204157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005528454,"about_ca_system_score_gemma":0.00004068289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002239161,"about_ca_topic_score_gemma":1.16225e-7,"domain_scores_codex":[0.999126,0.00001311086,0.0001355748,0.0003345232,0.0001623142,0.0002284493],"domain_scores_gemma":[0.9993275,0.00002889298,0.0001415008,0.0003025118,0.00007993315,0.0001196082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002864174,0.0000168272,0.00001916759,0.00001790343,0.000340371,0.00004656198,0.00001468336,0.0009989418,0.00002213763,0.9775663,0.01334963,0.007578829],"study_design_scores_gemma":[0.0004902791,0.00007080589,0.000008856608,0.00008999914,0.0005709337,0.000003182483,0.00001924091,0.004276637,0.0003681997,0.00001896486,0.9933977,0.0006852687],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002828309,0.0000260022,0.06733252,0.000008289416,0.00005765774,0.00008785906,0.00004673882,0.00005999007,0.9323527],"genre_scores_gemma":[0.00381721,0.00000595848,0.0007271912,0.00002492436,0.0002619656,2.454979e-7,0.0001302902,0.00003411882,0.9949981],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.980048,"threshold_uncertainty_score":0.9999492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01435860360711986,"score_gpt":0.1990127175701637,"score_spread":0.1846541139630438,"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."}}