{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003226553,0.0007594693,0.0007403754,0.0005646438,0.0002922885,0.0009061149,0.0007298419,0.001025502,0.0007188753],"category_scores_gemma":[0.005631822,0.0002891113,0.000710922,0.0004594767,0.0004263151,0.0007368434,0.0003557614,0.0008281861,0.0001075406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008605075,"about_ca_system_score_gemma":0.0004611562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01323889,"about_ca_topic_score_gemma":0.00452397,"domain_scores_codex":[0.9993215,0.0003044404,0.00004833821,0.0001361155,0.00008965353,0.00009989421],"domain_scores_gemma":[0.99672,0.002627445,0.000158642,0.00007576687,0.0003497343,0.00006841019],"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":[0.0003621925,0.0002928541,0.00722628,0.0001182272,0.0001769628,0.0001734061,0.0001184954,0.9263844,0.003035901,0.00169638,0.000476856,0.0599381],"study_design_scores_gemma":[0.000001834018,0.00003148632,0.0005788693,0.000003106341,0.000006598332,0.000004734902,0.000007491199,0.9990155,0.0001824679,0.0001474313,0.00001876484,0.000001745548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7485462,0.001868196,0.2453066,0.0006814222,0.0001598869,0.00008616263,0.0001069521,0.0003151193,0.002929521],"genre_scores_gemma":[0.9890505,0.0002392755,0.009698034,0.00004496431,0.00004326465,0.00002635038,0.00006364789,0.000007629247,0.0008264155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01323889,"threshold_uncertainty_score":0.02632362,"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."}}