{"id":"W4298009683","doi":"10.18280/ts.390414","title":"Signal Processing Algorithms Like Ensemble Empirical Mode Decomposition and Statistical Analysis-Based Tool Chatter Severity Prediction","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hilbert–Huang transform; Preprocessor; Mode (computer interface); Computer science; Filter (signal processing); Algorithm; Machining; Time domain; Signal processing; Frequency domain; Pattern recognition (psychology); Data mining; Artificial intelligence; Engineering; Digital signal processing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001091726,0.001491254,0.0009108043,0.001568611,0.0002165618,0.0007428479,0.0007862161,0.0006961974,0.001303873],"category_scores_gemma":[0.003685741,0.0002961891,0.0009346321,0.001255052,0.000315335,0.0011944,0.0005126736,0.001219483,0.0007254439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002629905,"about_ca_system_score_gemma":0.000411605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001231227,"about_ca_topic_score_gemma":0.0013381,"domain_scores_codex":[0.9994136,0.0001128447,0.00005422473,0.0001581645,0.0002258519,0.00003530497],"domain_scores_gemma":[0.9986688,0.0005438715,0.0002102768,0.000161626,0.0003822979,0.00003323491],"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":[0.0002215118,0.0001803758,0.004107193,0.0003783978,0.0002388267,0.0001543832,0.0001626893,0.2090597,0.05107769,0.006929375,0.002105401,0.7253844],"study_design_scores_gemma":[0.000005753168,0.0001092478,0.002473817,0.00002564983,0.00002554496,0.0001074909,0.00002515578,0.9862038,0.007339328,0.00231689,0.001345934,0.00002137894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009735762,0.0004431155,0.988776,0.00006219079,0.00004632275,0.00002660959,0.00005665977,0.0003926112,0.0004607165],"genre_scores_gemma":[0.3484718,0.001993979,0.6456814,0.0001187985,0.0001642408,0.0001832197,0.0006244283,0.0001597729,0.002602328],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001568611,"threshold_uncertainty_score":0.005773604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0122415576759804,"score_gpt":0.2979535598738283,"score_spread":0.2857120021978479,"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."}}