{"id":"W4388447955","doi":"10.1109/ius51837.2023.10306888","title":"Ensemble AI Fault Diagnosis Model Using Ultrasonic Microphone","year":2023,"lang":"en","type":"article","venue":"","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Support vector machine; Naive Bayes classifier; Pattern recognition (psychology); Artificial intelligence; Computer science; Classifier (UML); k-nearest neighbors algorithm; Ultrasonic sensor; Microphone; Logistic regression; Feature extraction; Gaussian; Machine learning; Data mining","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":[0.0001352144,0.0002374971,0.0002342003,0.0002385419,0.000069261,0.00005776652,0.0002283633,0.0001321981,0.0001670739],"category_scores_gemma":[0.00004959456,0.0002407359,0.0001006091,0.0006164445,0.00002153307,0.0001721233,0.0000636278,0.0002213753,0.0003658504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001124524,"about_ca_system_score_gemma":0.0000184626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001433442,"about_ca_topic_score_gemma":0.00006164874,"domain_scores_codex":[0.9988303,0.00001461694,0.0002550154,0.0002513342,0.0001824876,0.0004663024],"domain_scores_gemma":[0.9993689,0.0001122449,0.00001823159,0.0003628184,0.00003800723,0.00009979552],"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":[0.000001578019,0.00003951022,0.002580677,0.00008062716,0.00003815064,0.00001639516,0.0001444361,0.5641932,0.2883452,0.0001554769,0.1412259,0.003178744],"study_design_scores_gemma":[0.00009882713,0.000008719241,0.0001509707,0.00002798698,0.00001180717,0.000004158858,0.00001086202,0.629023,0.3682001,0.0005933355,0.001642349,0.000227994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9068306,0.0001795058,0.08128241,0.0002519676,0.0001963612,0.0003224185,0.00002886468,0.006287476,0.004620394],"genre_scores_gemma":[0.9747867,0.0007020422,0.02345193,0.0003207186,0.00006589741,0.0001943213,0.00002026879,0.0001066549,0.0003514358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1395836,"threshold_uncertainty_score":0.9816924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02111371604446456,"score_gpt":0.2948115614740905,"score_spread":0.2736978454296259,"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."}}