{"id":"W4220762911","doi":"10.18280/ts.390131","title":"Analysis of Regenerative Raw Signals Using Variational Mode Decomposition","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microphone; Mode (computer interface); Frequency domain; Machining; Computer science; Frequency response; Control theory (sociology); Time domain; Engineering; Algorithm; Artificial intelligence; Mechanical engineering; Computer vision","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001183343,0.00009179712,0.0001648865,0.0002287754,0.0001485164,0.00001233381,0.00007350793,0.00001666548,0.001120501],"category_scores_gemma":[0.000002553571,0.0001053505,0.00007412925,0.0005801477,0.00001009699,0.0001258664,0.00002250767,0.00006960068,3.374992e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001066856,"about_ca_system_score_gemma":0.00001934777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001132248,"about_ca_topic_score_gemma":0.000003881557,"domain_scores_codex":[0.999238,0.00003710086,0.0002522055,0.0001236282,0.0002419446,0.0001071669],"domain_scores_gemma":[0.999738,0.00003901409,0.00008130791,0.00006135173,0.00005377359,0.00002654659],"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":[0.00002268939,0.00004108891,0.0001560602,0.00001250035,0.0003914321,7.557747e-7,0.0004710396,0.9590228,0.03826945,0.001208409,0.00002194482,0.0003818119],"study_design_scores_gemma":[0.0002421869,0.00004148823,0.0003728997,0.000003403588,0.0003442435,9.926229e-7,0.0000661103,0.9916929,0.006853861,0.0002308821,0.00004291079,0.0001081101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.149257,0.00008381248,0.8501899,0.00001272505,0.00005151,0.00008511767,0.00008357754,0.00005120264,0.0001851883],"genre_scores_gemma":[0.9800621,0.000006371326,0.01945351,0.00003580024,0.00003566511,0.00002696809,0.000357363,0.00001392749,0.000008300436],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8308051,"threshold_uncertainty_score":0.9997926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147506003527424,"score_gpt":0.2890996043255811,"score_spread":0.2743490039728387,"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."}}