{"id":"W1587068216","doi":"10.1109/fuzzy.1995.409944","title":"A multi-objective decision-making approach to syllogistic reasoning with consistency maintenance","year":2002,"lang":"en","type":"article","venue":"","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Syllogism; Consistency (knowledge bases); Maximization; Fuzzy logic; Artificial intelligence; Theoretical computer science; Mathematics; Mathematical optimization","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":[0.009544278,0.001141239,0.001100673,0.001991304,0.001588146,0.003857604,0.003056621,0.00204348,0.004391606],"category_scores_gemma":[0.01677773,0.0007237163,0.002115537,0.00239488,0.003540245,0.00465246,0.002799259,0.002824731,0.000440505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004252442,"about_ca_system_score_gemma":0.00318067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004676195,"about_ca_topic_score_gemma":0.005931887,"domain_scores_codex":[0.99151,0.004886181,0.0004575577,0.0007460472,0.001981488,0.0004187704],"domain_scores_gemma":[0.9905211,0.006693736,0.000839234,0.0005578956,0.001013204,0.0003748282],"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":[0.0001006802,0.0002116978,0.0008947368,0.0003082681,0.0002204386,0.0003919181,0.0008101382,0.2232527,0.001158619,0.7074217,0.002742644,0.06248665],"study_design_scores_gemma":[0.00004067284,0.00004485976,0.0001596749,0.00005135506,0.00007182302,0.00008702994,0.0001193981,0.5259293,0.001307849,0.4685367,0.003614838,0.00003643877],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008070579,0.0002759322,0.9846561,0.001496564,0.00004700907,0.0001194034,0.00007530879,0.0001176067,0.005141477],"genre_scores_gemma":[0.2500831,0.0002959367,0.7469292,0.0002328374,0.00009572246,0.0003119748,0.0001451298,0.00004249855,0.00186352],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009544278,"threshold_uncertainty_score":0.0504756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02212264590415273,"score_gpt":0.2315051216784932,"score_spread":0.2093824757743405,"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."}}