{"id":"W4213345006","doi":"10.4018/978-1-7998-1710-9","title":"Multi-Objective Optimization of Industrial Power Generation Systems","year":2020,"lang":"en","type":"book","venue":"Advances in civil and industrial engineering book series","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Bank of Canada","funders":"","keywords":"Computer science; Power (physics); Physics","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":[0.0003648328,0.001377909,0.0009461836,0.0004389838,0.0001858617,0.0009403147,0.0006690798,0.0005391198,0.007617169],"category_scores_gemma":[0.0006939073,0.000511208,0.0005512809,0.001061381,0.000267729,0.0006333439,0.0004978594,0.001129193,0.001644406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005278647,"about_ca_system_score_gemma":0.0004094845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002375402,"about_ca_topic_score_gemma":0.00360647,"domain_scores_codex":[0.9997508,0.00007485972,0.000007758585,0.0000288551,0.0001223707,0.00001529939],"domain_scores_gemma":[0.9997981,0.0001216572,0.00001731156,0.00001814281,0.0000352789,0.000009479903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001866531,0.0000306268,0.00005221588,0.0001225713,0.00002770085,0.00001960309,0.000009821604,0.9038312,0.0006621868,0.005699339,0.007447429,0.08207849],"study_design_scores_gemma":[0.000006782075,0.00002969867,0.0002226973,0.00003668593,0.000007429986,0.00001428127,0.000005795492,0.9806803,0.0003469823,0.008473185,0.01016997,0.000006158571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01414195,0.0144251,0.8071762,0.000773227,0.0005906555,0.00006729637,0.000438425,0.0008701973,0.161517],"genre_scores_gemma":[0.4428269,0.01847623,0.3041163,0.0004928204,0.0007324248,0.0004382571,0.001486091,0.001204698,0.2302262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007617169,"threshold_uncertainty_score":0.025482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01948987237295803,"score_gpt":0.2102554795416991,"score_spread":0.1907656071687411,"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."}}