{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004232622,0.001678636,0.001708995,0.001517483,0.0008808916,0.002382326,0.001861693,0.002634974,0.002513084],"category_scores_gemma":[0.006664261,0.0005313283,0.001381647,0.002076782,0.001358115,0.002102674,0.001684949,0.002101279,0.0004918599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002340713,"about_ca_system_score_gemma":0.001895101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008017029,"about_ca_topic_score_gemma":0.004112272,"domain_scores_codex":[0.9972179,0.001437427,0.0001333276,0.0004494549,0.0005669371,0.0001949287],"domain_scores_gemma":[0.9972441,0.001771297,0.0003044735,0.00007145151,0.0005156873,0.00009300886],"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":[0.00003621755,0.00003982108,0.0004224728,0.0001460892,0.00007335653,0.00009818717,0.0001467422,0.9196323,0.0005841745,0.05867991,0.001595012,0.01854574],"study_design_scores_gemma":[0.00000413579,0.00001884676,0.00006075378,0.00001180327,0.0000109828,0.00001044896,0.00001434481,0.9876806,0.00007913705,0.0115302,0.0005708887,0.000007859616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004966534,0.0005891778,0.9895713,0.0005361252,0.00007452199,0.00005655349,0.00005707063,0.00006659671,0.004082055],"genre_scores_gemma":[0.6277317,0.002292605,0.3590357,0.0005755129,0.0002812517,0.0008623498,0.0003055737,0.0001074107,0.008807862],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008017029,"threshold_uncertainty_score":0.02238446,"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."}}