{"id":"W3205040079","doi":"10.1007/978-1-0716-0843-2_9","title":"Applications of Unconstrained Optimization","year":2021,"lang":"en","type":"book-chapter","venue":"Texts in computer science","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Engineering optimization; Computer science; Optimization algorithm; Mathematical optimization; Optimization problem; Algorithm; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005333401,0.001643906,0.001259545,0.001197577,0.0006179243,0.002115604,0.0009938541,0.001001144,0.04567899],"category_scores_gemma":[0.002017154,0.000619368,0.0008861185,0.001978146,0.001429435,0.002185716,0.002090861,0.002351619,0.01424044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000760184,"about_ca_system_score_gemma":0.00066592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007164666,"about_ca_topic_score_gemma":0.001191214,"domain_scores_codex":[0.9995046,0.0001318551,0.00001971605,0.00008064799,0.0002368212,0.00002634266],"domain_scores_gemma":[0.9995591,0.0002425899,0.00001997561,0.00008975519,0.00006618398,0.00002242273],"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":[0.00002042353,0.0000352592,0.0001059391,0.0003662496,0.0000358675,0.0000702032,0.00007966733,0.01641744,0.001369504,0.693328,0.07132578,0.2168458],"study_design_scores_gemma":[0.000006177938,0.00001724625,0.0002548421,0.0002058322,0.00001468308,0.0001902586,0.0000359855,0.03054146,0.0009688421,0.6363131,0.3314331,0.00001851059],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.001570498,0.02277065,0.3600305,0.001737706,0.001802389,0.00004102194,0.0002449461,0.0005484103,0.6112539],"genre_scores_gemma":[0.06682302,0.04044646,0.2306495,0.001783301,0.003168753,0.000269291,0.0006693624,0.001330117,0.6548601],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04567899,"threshold_uncertainty_score":0.1528115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04214007796729567,"score_gpt":0.3439060060454412,"score_spread":0.3017659280781456,"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."}}