{"id":"W4367840729","doi":"10.1016/j.fss.2023.108533","title":"Approximate bisimulations for fuzzy-transition systems","year":2023,"lang":"en","type":"article","venue":"Fuzzy Sets and Systems","topic":"Advanced Algebra and Logic","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Bisimulation; Nondeterministic algorithm; Mathematics; Fuzzy logic; Operator (biology); Function (biology); Characterization (materials science); Algorithm; Discrete mathematics; Computer science; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0003665279,0.0001358404,0.0002211419,0.0001380441,0.0002934856,0.0002965659,0.0002144863,0.00007552768,3.788676e-7],"category_scores_gemma":[0.00001725959,0.0001109061,0.00005165299,0.0003986603,0.00002246693,0.0003618433,0.00004805157,0.00005498096,0.00004870912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001897227,"about_ca_system_score_gemma":0.00001871773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002344788,"about_ca_topic_score_gemma":0.000002038079,"domain_scores_codex":[0.998817,0.00005889725,0.0002732217,0.0003560217,0.0001816115,0.0003132826],"domain_scores_gemma":[0.9992652,0.0001566526,0.0000841954,0.0003138303,0.00008243,0.0000977127],"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":[0.00001249678,0.00004070032,0.0002259932,0.0008326283,0.00005085612,0.00002316466,0.00226895,0.09422839,0.0006784414,0.8899678,0.00589105,0.005779534],"study_design_scores_gemma":[0.0004554475,0.00008763649,0.0005022411,0.00008568531,0.000009109468,0.00003168877,0.000387799,0.9711455,0.000009361954,0.01601736,0.01103792,0.0002302878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0479544,0.001470762,0.9407283,0.0007210034,0.003223589,0.001740256,0.0001256156,0.001078973,0.002957099],"genre_scores_gemma":[0.9978725,0.00003429138,0.001012385,0.00004833364,0.0001851227,0.0001939848,0.00005579813,0.00001359301,0.0005839809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9499181,"threshold_uncertainty_score":0.452262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0381943807865216,"score_gpt":0.2790001604778486,"score_spread":0.240805779691327,"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."}}