{"id":"W3130824979","doi":"10.3390/app11041592","title":"A Study of Multilayer Perceptron Networks Applied to Classification of Ceramic Insulators Using Ultrasound","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Government of Canada; Canadian Bureau for International Education; University of Regina","keywords":"Multilayer perceptron; Computer science; Ultrasonic sensor; Artificial neural network; Operator (biology); Grid; Artificial intelligence; Acoustics; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000328446,0.000129903,0.0002199703,0.0001342283,0.00008491664,0.00002595946,0.0002504847,0.00005460872,0.000008900964],"category_scores_gemma":[0.00003328143,0.00013027,0.00002198445,0.0009917655,0.0001458154,0.00005870224,0.00005487592,0.0001031493,0.000001299677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006438338,"about_ca_system_score_gemma":0.00003970837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000327378,"about_ca_topic_score_gemma":0.00002575749,"domain_scores_codex":[0.998921,0.000019998,0.0003023081,0.0002868153,0.0002716528,0.0001981703],"domain_scores_gemma":[0.9994235,0.0001328894,0.00008080622,0.0002596524,0.00005980266,0.00004335958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000004159123,0.00007628008,0.01707887,0.00001605405,0.00001261378,3.610257e-7,0.001592826,0.0469138,0.9285653,0.005110985,0.000005661307,0.0006230639],"study_design_scores_gemma":[0.0008126872,0.0002914819,0.6884132,0.0001004607,0.00009116089,0.00001599942,0.02115317,0.04220833,0.2334598,0.01260282,0.000007397842,0.00084351],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777421,0.00001631078,0.01530701,0.000001421376,0.00006572389,0.0003760924,0.000001408388,0.000168376,0.006321608],"genre_scores_gemma":[0.9023868,0.000001717439,0.09754175,0.000005877583,0.00002034368,0.00002635667,9.966471e-7,0.00001558597,5.090282e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6951056,"threshold_uncertainty_score":0.5312256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04736817736903627,"score_gpt":0.2939152505591491,"score_spread":0.2465470731901129,"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."}}