{"id":"W2312142720","doi":"10.1109/tsmca.2004.826282","title":"Preference Uncertainty in the Graph Model for Conflict Resolution","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":239,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Wilfrid Laurier University; University of Waterloo","funders":"","keywords":"Preference; Decision maker; Conflict resolution; Graph; Stability (learning theory); Computer science; Mathematics; Mathematical economics; Artificial intelligence; Theoretical computer science; Machine learning; Operations research; Statistics; Sociology","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":[0.00390438,0.001706225,0.001361441,0.001862745,0.001164468,0.00344349,0.003081078,0.00233168,0.007102465],"category_scores_gemma":[0.009219543,0.0006177329,0.002110518,0.00347336,0.002901556,0.006736217,0.002175054,0.003338966,0.001450699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002940639,"about_ca_system_score_gemma":0.002097088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00447055,"about_ca_topic_score_gemma":0.00416517,"domain_scores_codex":[0.9955336,0.002693931,0.0002018546,0.000588565,0.0007574272,0.0002246032],"domain_scores_gemma":[0.9960634,0.002792573,0.0003042647,0.0003204971,0.0003693988,0.0001499013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003068652,0.00001832778,0.0001319293,0.00007678705,0.00003380027,0.00009307516,0.0001743833,0.1226605,0.000254739,0.8617961,0.00144993,0.0132798],"study_design_scores_gemma":[0.00001967839,0.00001954634,0.00004109061,0.0000205877,0.00001539231,0.00005181253,0.00004071927,0.2422817,0.0001234169,0.7527818,0.004582286,0.00002199881],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0026856,0.0002659806,0.989189,0.0005638779,0.0000583494,0.00005780649,0.0001434134,0.00007360483,0.006962292],"genre_scores_gemma":[0.3466132,0.001690658,0.6380647,0.0005916778,0.0002648282,0.0009805298,0.0006808732,0.0001662588,0.01094733],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007102465,"threshold_uncertainty_score":0.02376008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1832036502582667,"score_gpt":0.3408655899617886,"score_spread":0.1576619397035219,"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."}}