{"id":"W4388948426","doi":"10.1016/j.inffus.2023.102152","title":"Multivariate multiscale dispersion Lempel–Ziv complexity for fault diagnosis of machinery with multiple channels","year":2023,"lang":"en","type":"article","venue":"Information Fusion","topic":"Chaos control and synchronization","field":"Physics and Astronomy","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Politechnika Opolska; National Natural Science Foundation of China","keywords":"Multivariate statistics; Computer science; Robustness (evolution); Data mining; Pattern recognition (psychology); Sample entropy; Artificial intelligence; Algorithm; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001514296,0.0001340193,0.0001869215,0.0001362706,0.0001990964,0.00004095518,0.00009457723,0.00004271978,0.0001400897],"category_scores_gemma":[0.00002934076,0.0001046567,0.00008473909,0.0002626538,0.00003679909,0.0006629765,0.00005998171,0.00006070761,0.0000652701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002084033,"about_ca_system_score_gemma":0.00002112301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006381816,"about_ca_topic_score_gemma":0.00002607229,"domain_scores_codex":[0.9991398,0.0000222223,0.0003449157,0.0001109369,0.0001956443,0.000186519],"domain_scores_gemma":[0.9992254,0.0001434862,0.0002379727,0.0001488202,0.0001911995,0.00005305988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001022555,0.0005004445,0.3722179,0.0004844251,0.0001869647,6.007725e-7,0.01241047,0.1803661,0.005373345,0.0108441,0.006907069,0.409686],"study_design_scores_gemma":[0.003926427,0.0001152661,0.03826994,0.00008871,0.0000232731,2.447128e-7,0.0007407885,0.944482,0.00440747,0.000516866,0.007219879,0.0002090805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7740403,0.000005058367,0.2233579,0.0003213643,0.0002375436,0.0008572193,0.0005071749,0.00009894239,0.000574516],"genre_scores_gemma":[0.9961376,0.000004387067,0.001167411,0.00003125825,0.0001134746,0.0001539373,0.00227762,0.00001060115,0.0001037703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7641159,"threshold_uncertainty_score":0.4267776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0174237331358547,"score_gpt":0.2455314716189661,"score_spread":0.2281077384831114,"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."}}