{"id":"W2055768354","doi":"10.1016/j.ymssp.2013.06.031","title":"Decentralized modal identification of structures using parallel factor decomposition and sparse blind source separation","year":2013,"lang":"en","type":"article","venue":"Mechanical Systems and Signal Processing","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Underdetermined system; Blind signal separation; Algorithm; Wavelet packet decomposition; Computer science; Wavelet; Matrix decomposition; Computational complexity theory; Wavelet transform; Artificial intelligence","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":[0.0004837467,0.000750883,0.0008147986,0.0004327866,0.00045821,0.0005972785,0.0006221861,0.0006169995,0.001738013],"category_scores_gemma":[0.001822624,0.000419076,0.0006082319,0.0005802128,0.0006586629,0.001318895,0.001030434,0.0009150905,0.0005010809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000323136,"about_ca_system_score_gemma":0.0007561781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001532955,"about_ca_topic_score_gemma":0.002927199,"domain_scores_codex":[0.9996018,0.0001086903,0.00001614243,0.0000968738,0.0001411852,0.00003540846],"domain_scores_gemma":[0.9993433,0.0002433338,0.00009172823,0.0001649091,0.0001337858,0.00002288862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003477192,0.0001311802,0.000570683,0.0001791336,0.0001008239,0.0000991758,0.0001360297,0.6058751,0.06971097,0.04600617,0.002225508,0.2746176],"study_design_scores_gemma":[0.00001586563,0.00003273262,0.0001459791,0.000004739775,0.000009350396,0.0000350992,0.00001293654,0.9803653,0.004051287,0.0145488,0.0007681753,0.000009807153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004407106,0.00003956006,0.9948123,0.00003355728,0.000008497964,0.000009127424,0.00001935503,0.00009453355,0.0005760189],"genre_scores_gemma":[0.3923387,0.0002881798,0.6034675,0.00006964585,0.00007671169,0.0001400634,0.0002410892,0.00008892528,0.003289332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001738013,"threshold_uncertainty_score":0.005814254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03256631955637352,"score_gpt":0.3092822614856136,"score_spread":0.2767159419292401,"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."}}