{"id":"W4391694690","doi":"10.1002/9781119825883.ch9","title":"Signal Analysis via Adaptive Decomposition","year":2024,"lang":"en","type":"other","venue":"","topic":"Control Systems and Identification","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Calgary","funders":"","keywords":"Decomposition; SIGNAL (programming language); Computer science; Biological system; Chemistry; Biology; Programming language","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00003368035,0.0001104242,0.0001847104,0.0004161344,0.000005276159,0.00004329288,0.00004501341,0.0001123504,0.004894532],"category_scores_gemma":[2.235845e-7,0.0001017509,0.0001350437,0.0002524196,0.000003674557,0.00001670911,0.000005453869,0.00006384364,0.00260539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004172218,"about_ca_system_score_gemma":0.000002178039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004701136,"about_ca_topic_score_gemma":0.001195178,"domain_scores_codex":[0.9995828,0.00000768998,0.0001191137,0.0001375643,0.00008132112,0.00007156106],"domain_scores_gemma":[0.9998118,0.000003782753,0.00002013817,0.0001310938,0.000008782486,0.00002438625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[8.600309e-7,0.000004258842,0.000002746799,0.00007710416,0.002410153,0.000002830731,0.00001971629,0.00116566,0.00101193,0.0004026018,0.9911191,0.003782982],"study_design_scores_gemma":[0.00008509975,0.00001057429,0.00008961726,0.0001068327,0.001854734,0.000001544686,0.00001636467,0.4470131,0.0001020624,0.0002040788,0.5501695,0.0003464629],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000002323258,0.002016446,0.3085085,0.000005544188,0.0003067423,0.00009655899,0.00002127525,0.0006060758,0.6884365],"genre_scores_gemma":[0.1383867,0.00002232657,0.0002502695,0.00000361058,0.0003448231,0.00002717484,0.00008290854,0.0002300227,0.8606521],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4458474,"threshold_uncertainty_score":0.9981712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005247373827981793,"score_gpt":0.2135774725629924,"score_spread":0.2083300987350106,"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."}}