{"id":"W4391469864","doi":"10.1016/j.dib.2024.110144","title":"University of Ottawa constant and variable speed electric motor vibration and acoustic fault signature dataset","year":2024,"lang":"en","type":"article","venue":"Data in Brief","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Signature (topology); Vibration; Constant (computer programming); Acoustics; Fault (geology); Variable (mathematics); Research article; Physics; Computer science; Mathematics; Geology; Seismology; Mathematical analysis; Geometry; Library science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005090539,0.001531911,0.001103853,0.002320359,0.0009577337,0.0009357178,0.002367719,0.001812597,0.006056265],"category_scores_gemma":[0.002329464,0.0003447505,0.0008471161,0.002547766,0.0005962708,0.0006194087,0.001041417,0.0009542134,0.007744145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003084456,"about_ca_system_score_gemma":0.003737415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2512548,"about_ca_topic_score_gemma":0.5283713,"domain_scores_codex":[0.9989899,0.0000814006,0.0001017199,0.0002746,0.0003444649,0.0002078819],"domain_scores_gemma":[0.9982101,0.0002103681,0.0001412578,0.0003453577,0.000917304,0.000175675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000768884,0.0003459516,0.02303289,0.001536857,0.0001955956,0.0005872893,0.0001187616,0.007081754,0.00360594,0.001085136,0.9127299,0.04891104],"study_design_scores_gemma":[0.0003147262,0.0003339626,0.1289788,0.0005843222,0.0001992965,0.0009726582,0.0008123186,0.02856972,0.009548,0.001355782,0.8280943,0.0002361647],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01457976,0.0005929206,0.001242407,0.0002738043,0.000145858,0.000123317,0.9791495,0.001236142,0.002656346],"genre_scores_gemma":[0.01282562,0.000155732,0.001442927,0.00003899595,0.00001181,0.00009574854,0.9836716,0.00003223986,0.001725289],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2512548,"threshold_uncertainty_score":0.4995846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008074197535068578,"score_gpt":0.2396072440735599,"score_spread":0.2315330465384913,"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."}}