{"id":"W2906170387","doi":"10.1109/mpel.2018.2874509","title":"Multilevel Inverters for Grid-Connected Photovoltaic Applications: Examining Emerging Trends","year":2018,"lang":"en","type":"article","venue":"IEEE Power Electronics Magazine","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":147,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Photovoltaic system; Inverter; Grid; Maximum power point tracking; Computer science; Power (physics); Electrical engineering; Electronic engineering; Voltage; Engineering; Mathematics; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001919882,0.0004237555,0.0003667077,0.0003547099,0.0001854866,0.00007135876,0.0003971908,0.0001642906,0.0003292264],"category_scores_gemma":[0.00001733181,0.0004594502,0.0001347313,0.0004698173,0.0000987578,0.0002331479,0.00002097167,0.0002711253,0.0002231997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000254271,"about_ca_system_score_gemma":0.00005580197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009212346,"about_ca_topic_score_gemma":0.00009282881,"domain_scores_codex":[0.9978014,0.00002151309,0.0004678415,0.0005209213,0.0002122431,0.0009761042],"domain_scores_gemma":[0.9989449,0.00009337265,0.00008680284,0.0005298806,0.0001684423,0.0001765923],"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":[0.00009294007,0.0000941097,0.0001669812,0.0001178844,0.0003671395,0.000003338515,0.001057057,0.0004245483,0.4354229,0.0003303508,0.074807,0.4871157],"study_design_scores_gemma":[0.0013779,0.0002379947,0.0004376316,0.00003231917,0.00005823467,0.000011636,0.00004646392,0.7858437,0.04792382,0.0002345927,0.1631707,0.0006249965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03259705,0.001013346,0.9530864,0.0001127015,0.002573853,0.001051872,0.0001284124,0.001446903,0.007989449],"genre_scores_gemma":[0.9946126,0.00008986866,0.002232226,0.0005480894,0.0004921075,0.0006820506,0.00009823008,0.0001585493,0.00108627],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9620156,"threshold_uncertainty_score":0.9997857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01768101425607474,"score_gpt":0.2498814791744228,"score_spread":0.232200464918348,"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."}}