{"id":"W4285554418","doi":"10.1007/978-1-0716-0843-2","title":"Practical Optimization","year":2021,"lang":"en","type":"book","venue":"Texts in computer science","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; University of Victoria","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004715412,0.001268705,0.0008995647,0.0006190178,0.0005503338,0.001699672,0.0008183008,0.0009291198,0.1096347],"category_scores_gemma":[0.001720354,0.0004090586,0.0005546488,0.001068982,0.0009582681,0.001707109,0.001223414,0.002459726,0.0388399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009141554,"about_ca_system_score_gemma":0.0006438995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007568896,"about_ca_topic_score_gemma":0.00123077,"domain_scores_codex":[0.9996219,0.00008508286,0.00001157237,0.00006705852,0.0001893601,0.00002499812],"domain_scores_gemma":[0.999692,0.0001284501,0.00001287113,0.00008740214,0.00005917139,0.0000201637],"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":[0.00002023781,0.00004237799,0.00006654696,0.0002048144,0.00001653637,0.00003352005,0.00004660064,0.01552514,0.0007885231,0.5356836,0.2536586,0.1939134],"study_design_scores_gemma":[0.00001171829,0.00002572009,0.000176083,0.00009674575,0.000009351464,0.00009604754,0.00002885934,0.0270608,0.0006765247,0.501875,0.4699319,0.00001124548],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.001108272,0.004918076,0.1819509,0.002803509,0.001083981,0.00003654173,0.0003965487,0.0005794525,0.8071227],"genre_scores_gemma":[0.04178144,0.005694303,0.06008727,0.001006687,0.00111422,0.0001396916,0.0007518334,0.001021823,0.8884026],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1096347,"threshold_uncertainty_score":0.3667645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08890308582327774,"score_gpt":0.4166537509413963,"score_spread":0.3277506651181186,"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."}}