{"id":"W6925211168","doi":"10.17632/65d7pmfzvx","title":"University of Ottawa Rolling-element Dataset – Vibration and Acoustic Faults under Constant Load and Speed conditions – Spectrograms (UORED-VAFCLS-P1)","year":2023,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"Outdoor and Experiential Education","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spectrogram; Microphone; Accelerometer; Window function; Window (computing); Fast Fourier transform; SIGNAL (programming language)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005814022,0.002953754,0.001486339,0.002942754,0.001188426,0.001459171,0.002977285,0.002052057,0.02351737],"category_scores_gemma":[0.003349293,0.0005955418,0.001314177,0.004579019,0.0006814309,0.0008661106,0.001627846,0.001219366,0.05070337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002698379,"about_ca_system_score_gemma":0.003758542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.273081,"about_ca_topic_score_gemma":0.5047457,"domain_scores_codex":[0.9990232,0.0001046129,0.00007982556,0.0002745301,0.0003105343,0.0002073385],"domain_scores_gemma":[0.9978234,0.0002732884,0.0001413752,0.0005889083,0.000962582,0.0002104879],"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":[0.0001526116,0.00005224745,0.002835053,0.0008013029,0.00007036733,0.00006877288,0.00005312598,0.0009085846,0.000498172,0.0002940061,0.9873073,0.006958489],"study_design_scores_gemma":[0.0001732755,0.0000482373,0.0338818,0.0003873812,0.00009261334,0.0001526648,0.0003188539,0.001741707,0.001699014,0.0009847232,0.9604127,0.0001070564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006395657,0.0001310075,0.0001476774,0.00004828033,0.00003393598,0.00001251596,0.997689,0.0006362914,0.0006616362],"genre_scores_gemma":[0.0009461049,0.00006193133,0.0003204315,0.00001448789,0.000006665754,0.00003708026,0.9978139,0.00004606324,0.0007533489],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.273081,"threshold_uncertainty_score":0.542983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04747182029800445,"score_gpt":0.3501919655578389,"score_spread":0.3027201452598344,"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."}}