{"id":"W4393935428","doi":"10.3390/s24072297","title":"Industrial Fault Detection Employing Meta Ensemble Model Based on Contact Sensor Ultrasonic Signal","year":2024,"lang":"en","type":"article","venue":"Sensors","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Naive Bayes classifier; Pattern recognition (psychology); Support vector machine; Computer science; Artificial intelligence; Principal component analysis; Decision tree; Linear discriminant analysis; Fault detection and isolation; Dimensionality reduction; Ultrasonic sensor; Random forest; Classifier (UML)","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":[0.0006458262,0.0008145203,0.001229123,0.0008531103,0.0003323247,0.0007867013,0.0008487283,0.0006529649,0.0008931775],"category_scores_gemma":[0.001150174,0.0002815741,0.00117551,0.0005759872,0.0002071822,0.0007695367,0.0005458986,0.0006805229,0.0002731672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005713647,"about_ca_system_score_gemma":0.0004988033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007711751,"about_ca_topic_score_gemma":0.006298897,"domain_scores_codex":[0.9996974,0.00005236018,0.00002104869,0.0001030943,0.00008063947,0.00004538779],"domain_scores_gemma":[0.9995295,0.0001747033,0.00006235258,0.00004534811,0.000160296,0.00002794498],"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":[0.0001559186,0.00009775391,0.006006639,0.00003884061,0.0002043835,0.0001050003,0.0000548265,0.8936439,0.004401492,0.0013625,0.00058361,0.09334517],"study_design_scores_gemma":[9.056673e-7,0.00001887673,0.000234018,0.000001317632,0.000009398766,0.000005823806,0.000002118413,0.9992344,0.0002472117,0.0001878669,0.00005580932,0.000002104836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1743786,0.0009343827,0.8205136,0.0002477937,0.00009078896,0.00005609863,0.0002331312,0.001271884,0.002273667],"genre_scores_gemma":[0.9565282,0.0003023507,0.04097084,0.00006190067,0.00004798902,0.00009127132,0.0003421049,0.0000353182,0.001619987],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007711751,"threshold_uncertainty_score":0.01533371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03238142587340873,"score_gpt":0.2313269454673783,"score_spread":0.1989455195939695,"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."}}