{"id":"W4386860056","doi":"10.3390/en16186684","title":"Power Quality Enhancement of Remote Gas Field Generations with Smart Power Converters","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Innovates","keywords":"Electricity generation; Engineering; Automotive engineering; Electric power system; Converters; Distributed generation; Electrical engineering; Renewable energy; Overvoltage; Harmonics; Voltage; Power (physics)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00006831131,0.00007680601,0.0001080565,0.0000519385,0.00002946124,0.00001421562,0.00005337927,0.00003211781,0.0002251896],"category_scores_gemma":[0.00001042547,0.00006617843,0.00002917547,0.0001390507,0.00001506616,0.00006102456,0.00001230063,0.00003757348,0.00001937229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001188652,"about_ca_system_score_gemma":0.000009797922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004256438,"about_ca_topic_score_gemma":0.00004040704,"domain_scores_codex":[0.9995421,0.00001243624,0.0001497391,0.00008455076,0.00009340926,0.0001178023],"domain_scores_gemma":[0.9997368,0.00003139567,0.00002291295,0.0001509901,0.00003643089,0.00002142156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005379624,0.00002369765,0.000402727,0.00006162134,0.0001997815,0.000005648305,0.002029009,0.8287614,0.1346313,0.001584643,0.02147712,0.01076927],"study_design_scores_gemma":[0.001466599,0.0003054891,0.003099564,0.00008819981,0.00004127909,0.000002811466,0.0008883234,0.2395488,0.7063512,0.0002045311,0.04739814,0.0006050795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9416191,0.0003808068,0.05003589,0.0004293302,0.000437858,0.0001021229,0.000008486619,0.0003147933,0.006671628],"genre_scores_gemma":[0.9963909,0.0002673151,0.002602227,0.00009560449,0.00001984719,0.000006547566,0.00002343773,0.0000128702,0.0005812231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5892126,"threshold_uncertainty_score":0.2698678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007225578654111416,"score_gpt":0.2151313089533783,"score_spread":0.2079057302992669,"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."}}