{"id":"W4405232460","doi":"10.1109/tcss.2024.3504398","title":"Maximizing Group Utilities While Avoiding Conflicts Through Agent Qualifications","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Computational Social Systems","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nipissing University","funders":"National Natural Science Foundation of China","keywords":"Group (periodic table); Computer science; Computer security; Business","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":[0.008082097,0.001321939,0.00121943,0.001033917,0.001145528,0.002089139,0.001670295,0.001221789,0.002453147],"category_scores_gemma":[0.0210465,0.0003983361,0.0005715191,0.001265914,0.001635044,0.004405966,0.003412958,0.00120527,0.0004618026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001125876,"about_ca_system_score_gemma":0.002073308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007236401,"about_ca_topic_score_gemma":0.0006748996,"domain_scores_codex":[0.9933509,0.004627828,0.0002286584,0.0005532065,0.0007581854,0.0004811187],"domain_scores_gemma":[0.9935949,0.003376037,0.0009149414,0.000729089,0.0006543613,0.0007305127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004834277,0.0005581912,0.004206429,0.0003660355,0.00009793324,0.0004703141,0.002010714,0.4125955,0.007256608,0.3946501,0.002482804,0.1748221],"study_design_scores_gemma":[0.00009866209,0.0003701228,0.0009333744,0.00004878732,0.00004960719,0.0001736849,0.0005640007,0.8099857,0.002607851,0.1823636,0.002770662,0.00003383417],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09996434,0.0001531076,0.8882191,0.0005927982,0.0000260397,0.000256122,0.00002509574,0.000118337,0.01064513],"genre_scores_gemma":[0.8851038,0.0001214249,0.1120999,0.00007605928,0.00002260871,0.000199637,0.0000298208,0.00003225547,0.002314593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008082097,"threshold_uncertainty_score":0.04274267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2421766600420946,"score_gpt":0.4062815752721982,"score_spread":0.1641049152301035,"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."}}