{"id":"W4381112601","doi":"10.1016/j.dib.2023.109327","title":"University of Ottawa constant load and speed rolling-element bearing vibration and acoustic fault signature datasets","year":2023,"lang":"en","type":"article","venue":"Data in Brief","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Bearing (navigation); Rolling-element bearing; Vibration; Computer science; Fault (geology); Signature (topology); Accelerometer; Microphone; Time domain; Acoustics; Artificial intelligence; Telecommunications; Geology","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":[0.001007643,0.001276777,0.0009481875,0.003543179,0.001415565,0.00138422,0.002310798,0.001528701,0.005961114],"category_scores_gemma":[0.005023051,0.0004359062,0.000762063,0.004337727,0.001145976,0.0009817039,0.001499587,0.001093105,0.006492285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004148765,"about_ca_system_score_gemma":0.00783298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4335339,"about_ca_topic_score_gemma":0.6965806,"domain_scores_codex":[0.998035,0.0001567873,0.0001903041,0.0003967195,0.000887049,0.000334066],"domain_scores_gemma":[0.993121,0.0006239826,0.0004439298,0.001307285,0.003982324,0.0005214112],"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":[0.001423233,0.0004925389,0.03439891,0.001750369,0.0002724701,0.0008374295,0.0005197041,0.02003924,0.01209132,0.003761831,0.8207966,0.1036164],"study_design_scores_gemma":[0.0002860216,0.0003598444,0.1551001,0.0003901944,0.0001762835,0.000672551,0.001205258,0.03621894,0.01614911,0.002236225,0.7868302,0.0003752832],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05978131,0.001434039,0.00837048,0.0009527833,0.0003982353,0.0004357229,0.9117706,0.004183474,0.01267333],"genre_scores_gemma":[0.05586816,0.0005218715,0.0109045,0.00009698879,0.00004465611,0.0003136422,0.9240556,0.0001467619,0.008047789],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4335339,"threshold_uncertainty_score":0.8620209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01442018471294468,"score_gpt":0.2590333567559043,"score_spread":0.2446131720429597,"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."}}