{"id":"W3093936753","doi":"10.1109/jsyst.2020.3027716","title":"A Biobjective Optimization Model for Expert Opinions Aggregation and Its Application in Group Decision Making","year":2020,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Reliability (semiconductor); Objectivity (philosophy); Computer science; Process (computing); Quality (philosophy); Subjectivity; Group decision-making; Expert opinion; Field (mathematics); Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003135011,0.0002038568,0.0004199988,0.0006119533,0.0003510299,0.0007844227,0.0004941475,0.0001597936,0.00001061539],"category_scores_gemma":[0.003441399,0.0001665098,0.0001084284,0.0008337521,0.00002422065,0.00107742,0.00007707816,0.0002250127,0.00001774611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001599511,"about_ca_system_score_gemma":0.00008185794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006986677,"about_ca_topic_score_gemma":0.00001438107,"domain_scores_codex":[0.9961616,0.0002944474,0.001433088,0.0006286555,0.001201242,0.0002809464],"domain_scores_gemma":[0.9966431,0.001347909,0.0008269955,0.0002525437,0.0007233659,0.00020612],"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":[0.0002016136,0.0000267275,0.0002626099,0.00001010587,0.000007213862,0.000003534051,0.002552796,0.9483721,0.001876824,0.000325489,0.000830874,0.04553016],"study_design_scores_gemma":[0.001110489,0.00006485442,0.0001697196,0.0002863479,0.000005158887,0.00009586409,0.0006374055,0.9939734,0.00004852248,0.002929364,0.000498376,0.0001804363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03162572,0.0007727137,0.9651114,0.0004368549,0.000946883,0.001005558,0.00003170051,0.00003079572,0.00003839988],"genre_scores_gemma":[0.9499775,0.00005684451,0.04906804,0.0002088765,0.000527428,0.0001135977,0.000004278852,0.00002812576,0.00001526671],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9183518,"threshold_uncertainty_score":0.7564207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1908346164987336,"score_gpt":0.4317006410091515,"score_spread":0.2408660245104179,"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."}}