{"id":"W2785548614","doi":"10.1142/s021812741750211x","title":"A Smoothing Technique for the Multifractal Analysis of a Medium Voltage Feeders Electric Current","year":2017,"lang":"en","type":"article","venue":"International Journal of Bifurcation and Chaos","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Multifractal system; Mathematics; Algorithm; Smoothing; Series (stratigraphy); Detrended fluctuation analysis; Time series; Harmonics; Fourier series; Hurst exponent; Residual; Benchmark (surveying); Fractal; Voltage; Statistics; Mathematical analysis; Scaling; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0006559712,0.00006744463,0.0002790061,0.0005523578,0.0001461307,0.000136978,0.0004072223,0.00003125347,0.00006666973],"category_scores_gemma":[0.0002645403,0.00005414944,0.0002851817,0.0001287143,0.00003929277,0.0002045368,0.00003938303,0.00008672026,0.000001294797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005141216,"about_ca_system_score_gemma":0.00002128865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003943727,"about_ca_topic_score_gemma":0.00008772512,"domain_scores_codex":[0.9991276,0.000006079391,0.0006022037,0.0001038833,0.00008721332,0.00007301323],"domain_scores_gemma":[0.9977034,0.00009657474,0.001691598,0.0001642061,0.000311348,0.00003290661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006457757,0.0008209302,0.3384819,0.0001681622,0.02450358,0.000008915957,0.00649166,0.001475985,0.01210375,0.2855887,0.002504909,0.3272057],"study_design_scores_gemma":[0.002655781,0.000278537,0.6233863,0.0001617095,0.001269969,0.00004695419,0.001188264,0.2247639,0.002500879,0.0236921,0.119554,0.0005016151],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2971611,0.007983822,0.6797415,0.01102944,0.002023622,0.0005615444,0.0002323606,0.000009660977,0.001256963],"genre_scores_gemma":[0.9988918,0.0006017548,0.0001930389,0.00003439656,0.0001734252,0.00001365989,0.000005474134,0.00000530392,0.00008108695],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7017308,"threshold_uncertainty_score":0.220815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03793476645512487,"score_gpt":0.2958513228653237,"score_spread":0.2579165564101988,"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."}}