{"id":"W2111463030","doi":"10.1039/b312701j","title":"Fuzzy logic applications","year":2003,"lang":"en","type":"article","venue":"The Analyst","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Fuzzy logic; Fuzzy electronics; Computer science; Fuzzy control system; Neuro-fuzzy; Control engineering; Fuzzy set operations; Artificial intelligence; Engineering","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":[0.001274867,0.0009109058,0.0009558972,0.001897853,0.00112282,0.003258575,0.001419532,0.001871804,0.03211604],"category_scores_gemma":[0.005321536,0.0003130519,0.0008365207,0.00226868,0.0008585701,0.0019382,0.001610879,0.001593844,0.01026058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00124699,"about_ca_system_score_gemma":0.001073173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001505944,"about_ca_topic_score_gemma":0.001105435,"domain_scores_codex":[0.9986774,0.000253429,0.0001232966,0.0001879799,0.000674539,0.00008322564],"domain_scores_gemma":[0.9985966,0.0006116275,0.00008564417,0.0001547332,0.0004996255,0.00005178476],"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":[0.00006330779,0.00005210756,0.0004052086,0.0009196667,0.00005989089,0.0004882268,0.0003012223,0.01307509,0.001799381,0.6100282,0.04631695,0.3264907],"study_design_scores_gemma":[0.00003152506,0.00004614432,0.0002295406,0.0004149644,0.00002784737,0.0005748466,0.0001711376,0.03989545,0.001640404,0.5111922,0.4457453,0.00003055001],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004095896,0.02696653,0.5621051,0.005941246,0.002666717,0.0003554875,0.0009895177,0.001994936,0.3948845],"genre_scores_gemma":[0.3089528,0.04368842,0.4546154,0.003754717,0.003892493,0.0006572896,0.002060571,0.0004003202,0.181978],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03211604,"threshold_uncertainty_score":0.1074389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.015607980922868,"score_gpt":0.2288616553304218,"score_spread":0.2132536744075538,"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."}}