{"id":"W4310175353","doi":"10.1109/isgt-europe54678.2022.9960628","title":"Low Voltage DC to Medium Voltage AC Step-up PV Grid-Connected Inverter Module With Robust DC-link Voltage Balancing, MPPT and Grid-Side Control","year":2022,"lang":"en","type":"article","venue":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Maximum power point tracking; Electrical engineering; Inverter; Voltage; Voltage regulation; Voltage controller; Transformer; Low voltage; Engineering; Electronic engineering; Voltage divider; Computer science; Voltage droop","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","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0008084807,0.001685933,0.001662037,0.001440683,0.0007905628,0.0003508875,0.002660651,0.000322838,0.0005090541],"category_scores_gemma":[0.001495319,0.001609869,0.0001282166,0.006810341,0.001051438,0.0009912285,0.002093134,0.003397881,0.0002547735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004586277,"about_ca_system_score_gemma":0.0003682479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007920312,"about_ca_topic_score_gemma":0.0002200899,"domain_scores_codex":[0.9926747,0.0002887969,0.001513834,0.002246098,0.001302012,0.001974524],"domain_scores_gemma":[0.9947903,0.0004495781,0.0005890172,0.002177479,0.001677008,0.000316614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00111752,0.0003686689,0.01501301,0.0007306998,0.001477129,0.002761882,0.002180703,0.01572138,0.7016689,0.005115005,0.1060757,0.1477695],"study_design_scores_gemma":[0.009441126,0.003606845,0.01196133,0.0006429406,0.0003181502,0.0004437231,0.006091585,0.3130178,0.09861717,0.0002145934,0.5490977,0.006547051],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2175222,0.0006771003,0.7495713,0.003177932,0.01023863,0.004033191,0.002496612,0.009589558,0.002693394],"genre_scores_gemma":[0.9910445,0.0005016766,0.001507332,0.001954991,0.0005880683,0.0009255018,0.0003180264,0.0005545501,0.002605366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7735223,"threshold_uncertainty_score":0.9995887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01271367096055829,"score_gpt":0.2044150661170591,"score_spread":0.1917013951565008,"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."}}