{"id":"W4409102251","doi":"10.1109/tsmc.2025.3552113","title":"Utility-Driven Minimum Cost Consensus Model With Preference Learning and Fairness Concerns","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Systems","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Hunan Province; National Natural Science Foundation of China; National Research Centre","keywords":"Preference; Computer science; Economics; Microeconomics","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":[0.002576542,0.001084227,0.00150936,0.0006757536,0.0008131937,0.001625064,0.0024484,0.00171338,0.003108203],"category_scores_gemma":[0.005258752,0.0004439811,0.0009821375,0.0008985119,0.0009086208,0.001999826,0.001157523,0.001554079,0.0003426874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001967515,"about_ca_system_score_gemma":0.001485881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006426745,"about_ca_topic_score_gemma":0.003032784,"domain_scores_codex":[0.9977973,0.0008266015,0.00009434392,0.0004846957,0.0004828845,0.0003142489],"domain_scores_gemma":[0.9977909,0.001129196,0.0003384012,0.0001172952,0.0004809095,0.0001433102],"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":[0.0001328299,0.0000644773,0.0008701916,0.00008882443,0.00005894893,0.00020552,0.0001811277,0.9034843,0.001444096,0.07856099,0.000810636,0.0140981],"study_design_scores_gemma":[0.00001478726,0.00002435682,0.00008915753,0.000003083749,0.00000771062,0.00001641901,0.00001231251,0.9851605,0.0001530297,0.01432782,0.0001834355,0.000007417747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04883625,0.0002211224,0.9438033,0.0005736147,0.00004875939,0.0001060421,0.0001000369,0.0001008383,0.006210079],"genre_scores_gemma":[0.9403557,0.0002267546,0.05181617,0.0001021291,0.00003948146,0.0002592411,0.0001063469,0.00002443966,0.007069923],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006426745,"threshold_uncertainty_score":0.01427543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1460013830672481,"score_gpt":0.3665691552985451,"score_spread":0.2205677722312971,"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."}}