{"id":"W4404623603","doi":"10.1016/j.ins.2024.121676","title":"Three-way conflict analysis with preference-based conflict situations","year":2024,"lang":"en","type":"article","venue":"Information Sciences","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Preference; Conflict analysis; Computer science; Mathematical economics; Conflict resolution; Social psychology; Mathematics; Psychology; Political science; Statistics; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006321904,0.0001208038,0.0001384867,0.0006750533,0.0003570585,0.002090364,0.0008164162,0.00004081335,0.00007999955],"category_scores_gemma":[0.00002762283,0.00007543656,0.00007503881,0.004033731,0.000219688,0.00387359,0.00006109221,0.00008992638,0.0002633065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000269427,"about_ca_system_score_gemma":0.0003027765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001505155,"about_ca_topic_score_gemma":0.0001368123,"domain_scores_codex":[0.9985467,0.00002033792,0.0002984487,0.0002339339,0.0006677837,0.0002327809],"domain_scores_gemma":[0.9992048,0.0001568,0.00009903202,0.0003158087,0.0001426712,0.0000809415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001108666,0.00005260608,0.005999953,0.00006915455,0.0002872984,0.000008718687,0.0110556,0.1191502,0.00002753131,0.5872537,0.004255534,0.2718287],"study_design_scores_gemma":[0.00009997196,0.000123568,0.009878121,0.00001833249,0.00003704568,0.000003450831,0.00008668496,0.9571831,0.00007488285,0.001489609,0.03085069,0.0001545543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004351327,0.00009907202,0.9580397,0.002422695,0.0001659718,0.0001587107,0.00001154117,0.00030117,0.03444979],"genre_scores_gemma":[0.9661787,0.0000123033,0.03290327,0.0008049052,0.00002094964,0.00002944496,0.00001960023,0.000001613825,0.00002927496],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9618273,"threshold_uncertainty_score":0.9989455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09302595117401276,"score_gpt":0.2847824686846517,"score_spread":0.1917565175106389,"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."}}