{"id":"W2065021034","doi":"10.1016/j.fss.2009.04.014","title":"Logic-based fuzzy networks: A study in system modeling with triangular norms and uninorms","year":2009,"lang":"en","type":"article","venue":"Fuzzy Sets and Systems","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Fuzzy logic; Discretization; Computer science; Pruning; Theoretical computer science; Artificial intelligence; Cluster analysis; Mathematics","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":[0.0004649927,0.0002040475,0.000356982,0.0001012414,0.0001868568,0.0003753443,0.0002860815,0.00006916113,1.328549e-7],"category_scores_gemma":[0.000002599727,0.000131577,0.00002363791,0.000469932,0.00002025412,0.0002207615,0.00005004102,0.0001492409,0.000001253086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003261658,"about_ca_system_score_gemma":0.00002500623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001907054,"about_ca_topic_score_gemma":0.00006722005,"domain_scores_codex":[0.9985007,0.000102254,0.0003607661,0.0004985612,0.000215893,0.0003218346],"domain_scores_gemma":[0.9992122,0.00004829567,0.0001051476,0.0004425281,0.00005236781,0.0001394749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006995124,0.0003331119,0.009757544,0.0001185627,0.00003395528,0.0002153642,0.000963393,0.8807479,0.00002860388,0.09713279,0.0001269298,0.01047193],"study_design_scores_gemma":[0.001111657,0.0004074102,0.002823694,0.000163047,0.000009796502,0.00004717966,0.0006030059,0.9942932,5.08137e-7,0.0002881424,0.00004344551,0.0002089246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7518019,0.00197477,0.2431578,0.0003928512,0.0001687511,0.001593063,0.000003172851,0.0001988941,0.0007088227],"genre_scores_gemma":[0.9989611,0.00001606532,0.0007314351,0.000116184,0.00009033873,0.00005070724,0.000003614926,0.000008594305,0.00002195883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2471592,"threshold_uncertainty_score":0.5365554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02396526518399888,"score_gpt":0.2446205612663309,"score_spread":0.220655296082332,"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."}}