{"id":"W2972091841","doi":"10.1115/detc2018-85325","title":"Knowledge Assisted Optimization for Large-Scale Problems: A Review and Proposition","year":2018,"lang":"en","type":"review","venue":"","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Knowledge engineering; Engineering optimization; Scale (ratio); Domain knowledge; Knowledge-based systems; Optimization problem; Industrial engineering; Management science; Data science; Artificial intelligence; Engineering","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":[0.0005444924,0.0004693915,0.001308423,0.0002222607,0.0002445971,0.0001652203,0.0005581713,0.00024598,0.00004402755],"category_scores_gemma":[0.0001413246,0.0003685578,0.0002446085,0.0009683209,0.00005275716,0.0006808172,0.000331871,0.0001581731,0.00004091643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001887226,"about_ca_system_score_gemma":0.0002708044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.636537e-7,"about_ca_topic_score_gemma":0.000004810186,"domain_scores_codex":[0.9975215,0.0002160884,0.0007325193,0.001018655,0.0001542345,0.0003570491],"domain_scores_gemma":[0.9977326,0.0001353905,0.000571585,0.0006457514,0.0007835829,0.0001310777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[6.651352e-7,0.0001705355,3.032106e-8,0.07302399,0.00006742562,4.995003e-7,0.00007254056,0.0001081081,2.717164e-8,0.001325329,0.002325014,0.9229059],"study_design_scores_gemma":[0.0002757818,0.00009856495,6.978862e-8,0.02066069,0.0004164342,0.00005720895,0.000001743639,0.2045539,4.053928e-7,0.00005354884,0.7734582,0.0004234931],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[7.552479e-11,0.4965362,0.4995877,0.00003811779,0.0001127822,0.002962076,0.00002301383,0.0001672715,0.0005728026],"genre_scores_gemma":[1.622475e-9,0.5290287,0.4687046,0.0000839268,0.00005470027,0.0008497629,0.0001511627,0.00003216612,0.001094979],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9224824,"threshold_uncertainty_score":0.9998766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04661742812093883,"score_gpt":0.3535615984749195,"score_spread":0.3069441703539806,"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."}}