{"id":"W4400478987","doi":"","title":"Separation of vibratory components in complex systems for condition monitoring","year":2024,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"European Commission","keywords":"Separation (statistics); Computer science; Environmental science; Machine learning","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":[0.0003948179,0.0004789798,0.0006798964,0.0008001571,0.0003575135,0.001032017,0.0004546495,0.0008703658,0.008016619],"category_scores_gemma":[0.001024055,0.0001586158,0.0002676981,0.0006153994,0.0005241962,0.0007000099,0.0005354536,0.0006313911,0.001449377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002754424,"about_ca_system_score_gemma":0.0002830216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004049512,"about_ca_topic_score_gemma":0.0007559018,"domain_scores_codex":[0.999739,0.00003310481,0.00001315122,0.00007597087,0.0001068935,0.00003193934],"domain_scores_gemma":[0.9993593,0.0003406219,0.00008406968,0.00004431762,0.0001282198,0.00004340627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003338669,0.00007461163,0.001031502,0.0003099174,0.00001915999,0.00007275964,0.00008213623,0.003837017,0.8467938,0.001609325,0.0008613674,0.1449745],"study_design_scores_gemma":[0.00007603782,0.001226769,0.01819306,0.0001483929,0.0001022757,0.0007285746,0.0002853504,0.1425656,0.806586,0.007210474,0.02279699,0.00008039931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3086754,0.009600259,0.6689968,0.001033219,0.0005184034,0.0001841387,0.0002848825,0.0006882169,0.01001865],"genre_scores_gemma":[0.8861217,0.003967349,0.09160188,0.0003430654,0.0003706104,0.00008619577,0.0003546789,0.0001299404,0.01702459],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008016619,"threshold_uncertainty_score":0.02681828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01843982676612696,"score_gpt":0.2443499446518713,"score_spread":0.2259101178857444,"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."}}