{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001432521,0.0004377203,0.0008746518,0.0005690048,0.0005706853,0.001320444,0.0004588487,0.0002617208,0.00002289109],"category_scores_gemma":[0.0001029239,0.0003354175,0.00008554882,0.0006273771,0.0004085663,0.0001532681,0.00001705836,0.0004854986,0.00004210279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006899174,"about_ca_system_score_gemma":0.0001676852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003384548,"about_ca_topic_score_gemma":0.0002631464,"domain_scores_codex":[0.9950727,0.0007801304,0.001258851,0.001148711,0.001276132,0.0004634494],"domain_scores_gemma":[0.9959884,0.001923635,0.0004177375,0.000771985,0.0006168202,0.0002814292],"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":[0.001529803,0.0005349268,0.01348164,0.00114144,0.0006280643,0.0001559021,0.007602922,0.8949304,0.003606747,0.01368878,0.003896242,0.05880317],"study_design_scores_gemma":[0.001605653,0.0001595716,0.0004325007,0.0009488104,0.00008596818,0.0001286727,0.007957818,0.978088,0.0001701603,0.0001595993,0.009832308,0.0004309037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2633756,0.0006733331,0.7265908,0.0001174725,0.001423788,0.001438469,0.0001215428,0.0001394928,0.006119461],"genre_scores_gemma":[0.9738963,0.00007123694,0.0003085938,0.00003446807,0.00004051303,0.0001324085,0.000001617888,0.0000330823,0.02548182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7262822,"threshold_uncertainty_score":0.9999098,"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."}}