{"id":"W2163215883","doi":"10.1109/epec.2009.5420779","title":"Data segmentation algorithms for a time-domain harmonic source modeling method","year":2009,"lang":"en","type":"article","venue":"","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Harmonic; Computer science; Algorithm; Harmonic analysis; Grid; Electric power system; Renewable energy; Distributed generation; Power (physics); Electronic engineering; Electrical engineering; Engineering; Mathematics; Acoustics","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":[0.0006094268,0.000117744,0.0001411858,0.00004599413,0.00006292416,0.00005077896,0.0002710671,0.00006236966,0.00005649293],"category_scores_gemma":[0.00001557968,0.0001212053,0.00004112763,0.00008282076,0.00000424074,0.0002757739,0.00003115303,0.00009073922,0.00005023569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004491875,"about_ca_system_score_gemma":0.00001391945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006488533,"about_ca_topic_score_gemma":0.000002737122,"domain_scores_codex":[0.9991977,0.00002536451,0.0002186677,0.0002090485,0.0001136019,0.0002356285],"domain_scores_gemma":[0.9994639,0.0000613766,0.00001683778,0.0003778504,0.00001980711,0.00006028494],"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":[0.00003344974,0.00008230621,7.881796e-7,0.0000849503,0.0001408272,0.00000195939,0.001405258,0.5765362,0.05849103,0.001997855,0.01745502,0.3437704],"study_design_scores_gemma":[0.0003870658,0.00002558174,0.000001259312,0.000007511632,0.00002304779,0.000002982168,0.0001324113,0.9817685,0.004069555,0.003787718,0.009630003,0.0001643779],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001978657,0.0002382553,0.9955541,0.0003395758,0.00007540274,0.000228778,0.00008952578,0.0004117609,0.001083945],"genre_scores_gemma":[0.01970766,0.00004491328,0.9784607,0.0004880065,0.0001246517,0.00001480999,0.0004393407,0.00003260519,0.0006873375],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4052323,"threshold_uncertainty_score":0.4942609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09673711184237879,"score_gpt":0.3449896663784812,"score_spread":0.2482525545361024,"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."}}