{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004360307,0.0003055837,0.0004137274,0.0001875854,0.0002210312,0.00006456588,0.0005962685,0.0002626153,0.0014157],"category_scores_gemma":[0.00006128356,0.0003413446,0.00003107466,0.0002423522,0.0003344534,0.0002630552,0.0005517747,0.0002972341,0.0003144811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009486471,"about_ca_system_score_gemma":0.0002145227,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007254124,"about_ca_topic_score_gemma":0.007915634,"domain_scores_codex":[0.9978333,0.0001541974,0.0003999928,0.0009173168,0.0003406094,0.0003546342],"domain_scores_gemma":[0.9975693,0.0001408637,0.0003434662,0.001703774,0.00007208704,0.0001704914],"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":[0.00008712009,0.0002353594,0.00002541733,0.00009596568,0.0002841374,0.00003439575,0.0002985408,0.00001137949,0.0001355095,0.0002999756,0.998289,0.0002032008],"study_design_scores_gemma":[0.001535554,0.0002033736,0.0004820481,0.00007394784,0.0006948328,0.00003307667,0.007658822,0.0004020113,0.00001412822,0.0001982187,0.9882811,0.0004228309],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008669825,0.0002935998,0.0004458289,0.0002943716,0.001062663,0.0005204152,0.9963621,0.00004473655,0.0001092777],"genre_scores_gemma":[0.005059258,0.000624088,0.0001157343,0.00009777761,0.0001529328,0.000003869672,0.9937521,0.00002304241,0.0001712417],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01000784,"threshold_uncertainty_score":0.9999039,"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."}}