{"id":"W2533555228","doi":"10.1109/iceec.2004.1374625","title":"High impedence fault detection using low - order pattern harmonic detection","year":2005,"lang":"en","type":"article","venue":"","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Fault detection and isolation; Computer science; Harmonic analysis; Engineering; Artificial intelligence; Electronic engineering","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":[0.0001692377,0.0003267914,0.0002761474,0.0008306219,0.0002295457,0.0004351531,0.0004298343,0.0004739934,0.002124312],"category_scores_gemma":[0.001289474,0.0001220607,0.0001331435,0.0003713162,0.0002520564,0.0005584102,0.0002862806,0.000360969,0.0004557714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002135004,"about_ca_system_score_gemma":0.0001798882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006104204,"about_ca_topic_score_gemma":0.001008525,"domain_scores_codex":[0.9997982,0.00002812078,0.000008123461,0.00003038407,0.0001125341,0.00002269576],"domain_scores_gemma":[0.9993261,0.0003532712,0.00008113297,0.00008042071,0.0001346178,0.00002444627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007504571,0.000170194,0.008897988,0.0002553125,0.00004151546,0.0003838972,0.0002042181,0.007816259,0.3046507,0.005564174,0.00141187,0.6698535],"study_design_scores_gemma":[0.0001294794,0.0009360651,0.02310988,0.00004632201,0.0001094334,0.002982639,0.0001628707,0.4998517,0.4512128,0.01321365,0.008187136,0.00005801605],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2091417,0.0003289646,0.7806219,0.0002436027,0.0001112263,0.0000794627,0.00008195026,0.001386599,0.008004609],"genre_scores_gemma":[0.872333,0.0001319312,0.1236866,0.00008124138,0.00003075164,0.00002308306,0.00007185954,0.00004107363,0.003600474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002124312,"threshold_uncertainty_score":0.007106543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008226166363600445,"score_gpt":0.2548040605303935,"score_spread":0.246577894166793,"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."}}