{"id":"W2063360974","doi":"10.1155/2011/696947","title":"Type‐2 Fuzzy Modeling for Acoustic Emission Signal in Precision Manufacturing","year":2011,"lang":"en","type":"article","venue":"Modelling and Simulation in Engineering","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Acoustic emission; SIGNAL (programming language); Fuzzy logic; Machining; Interval (graph theory); Reliability (semiconductor); Set (abstract data type); Process (computing); Fuzzy set; Computer science; Engineering; Algorithm; Mechanical engineering; Acoustics; Mathematics; Artificial intelligence; Physics","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":[0.0005821813,0.0005711864,0.0004700361,0.0005286064,0.0003899734,0.0008818976,0.0009087053,0.0009039621,0.001177779],"category_scores_gemma":[0.001113858,0.0002294984,0.0008675225,0.0003365677,0.0004562143,0.0007740304,0.0002972673,0.0006669108,0.0002915851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006949539,"about_ca_system_score_gemma":0.000412951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004466444,"about_ca_topic_score_gemma":0.002635304,"domain_scores_codex":[0.9996217,0.00009617017,0.00001837627,0.00005543426,0.0001827924,0.00002546106],"domain_scores_gemma":[0.9996765,0.000166777,0.00004451887,0.00002214249,0.00008124396,0.000008835444],"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":[0.00007675905,0.00003392255,0.0004732197,0.0001143112,0.00003137508,0.0002632991,0.0001604929,0.8869357,0.01068923,0.06606337,0.0006232146,0.0345351],"study_design_scores_gemma":[0.000003223625,0.00001854702,0.00006576825,0.000006206498,0.000004523586,0.00002689511,0.000005933124,0.9912743,0.0006160528,0.00732735,0.0006435975,0.000007623675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01054363,0.0002423232,0.9855006,0.00008997943,0.00005103326,0.00002136524,0.00003433214,0.00007260903,0.003444166],"genre_scores_gemma":[0.7925667,0.0008432877,0.1988553,0.0001256793,0.0001030697,0.0001623071,0.0001071974,0.00003840156,0.007198162],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004466444,"threshold_uncertainty_score":0.008880913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04143849730809364,"score_gpt":0.228555417193361,"score_spread":0.1871169198852674,"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."}}