{"id":"W2690055406","doi":"10.1109/ccece.2017.7946672","title":"Realtime implementation of an internal-model-principle signal identifier","year":2017,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Identifier; Internal model; Computer science; SIGNAL (programming language); Set (abstract data type); Identification (biology); Algorithm; Band-pass filter; Filter (signal processing); Component (thermodynamics); Work (physics); Fourier transform; Filtering theory; Adaptive filter; Control theory (sociology); Mathematics; Electronic engineering; Artificial intelligence; Engineering; Mathematical analysis","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":[0.0007741296,0.0003488032,0.0004307223,0.0002415785,0.0002172992,0.0007625039,0.001230735,0.0006071019,0.002752637],"category_scores_gemma":[0.002022899,0.0002578394,0.0003377842,0.0001589658,0.0004217884,0.0007710702,0.000752456,0.001178426,0.001164694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002621646,"about_ca_system_score_gemma":0.0005426689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003133762,"about_ca_topic_score_gemma":0.0003366653,"domain_scores_codex":[0.9994646,0.00007905087,0.00002599844,0.0001096904,0.0002841445,0.00003658007],"domain_scores_gemma":[0.9994447,0.0001987443,0.0000590722,0.0001429631,0.0001348714,0.00001970885],"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":[0.0002178468,0.0002009517,0.00135644,0.000278253,0.00007206223,0.0001949783,0.000386052,0.2263377,0.2001793,0.1030135,0.004665093,0.4630979],"study_design_scores_gemma":[0.00001796743,0.00009074949,0.000175192,0.00001001447,0.000008532792,0.00007539077,0.000007441588,0.9650521,0.02541231,0.00295931,0.006180032,0.00001090959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0037001,0.0000214907,0.9937363,0.00004557915,0.00003610428,0.00001561503,0.000008923101,0.0007148891,0.001720965],"genre_scores_gemma":[0.3808135,0.00008326391,0.6144218,0.0001025164,0.00004848087,0.0001260312,0.00009771575,0.0001830045,0.004123659],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002752637,"threshold_uncertainty_score":0.0092085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01556936218173114,"score_gpt":0.3275114482128166,"score_spread":0.3119420860310854,"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."}}