{"id":"W3041073179","doi":"10.12928/telkomnika.v18i5.5632","title":"Accurate harmonic source identification using S-transform","year":2020,"lang":"en","type":"article","venue":"TELKOMNIKA (Telecommunication Computing Electronics and Control)","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Infineon Technologies (Canada)","funders":"","keywords":"Harmonic; MATLAB; Computer science; Electrical impedance; Identification (biology); Harmonic analysis; Power (physics); S transform; Electronic engineering; Acoustics; Physics; Engineering; Artificial intelligence; Electrical engineering; Wavelet transform","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":[0.0003407263,0.0007914496,0.0005603475,0.001310704,0.0003329713,0.000847024,0.0004339754,0.0006301798,0.003498915],"category_scores_gemma":[0.001186228,0.0002297541,0.0005701795,0.001315568,0.0003600091,0.001497595,0.0005494643,0.000568348,0.002072125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002727024,"about_ca_system_score_gemma":0.0004198536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001200712,"about_ca_topic_score_gemma":0.0008867972,"domain_scores_codex":[0.9995213,0.00008101171,0.0000261229,0.00007234533,0.000275137,0.0000241657],"domain_scores_gemma":[0.9996798,0.00009782828,0.00004795975,0.00004847458,0.0001175193,0.000008463251],"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":[0.000237803,0.00004238967,0.002060062,0.0003781441,0.00006266424,0.0003087961,0.0001895875,0.0973735,0.08395679,0.01488986,0.004002403,0.7964979],"study_design_scores_gemma":[0.00002527284,0.0001025208,0.001797432,0.00004392375,0.00003488313,0.0006649657,0.0001297075,0.9274747,0.04122704,0.01004952,0.01840128,0.00004875799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006449767,0.0002027927,0.9899934,0.00005306779,0.00004742733,0.00001718628,0.00005583346,0.0008944914,0.002286101],"genre_scores_gemma":[0.4168079,0.0008225829,0.5750982,0.00009741783,0.00008367643,0.0000677728,0.0005991545,0.0003737451,0.006049601],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003498915,"threshold_uncertainty_score":0.01170504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02633344104584415,"score_gpt":0.2508089269642004,"score_spread":0.2244754859183563,"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."}}