{"id":"W4393170665","doi":"10.1109/access.2024.3381188","title":"A Comprehensive Approach to Flexible LVRT Strategies for Inverter-Based PPMs Enhancing Voltage-Support, Overcurrent Protection, and DC-Link Voltage Quality","year":2024,"lang":"en","type":"article","venue":"IEEE Access","topic":"Silicon Carbide Semiconductor Technologies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Umm Al-Qura University","keywords":"Overcurrent; Voltage; Inverter; Computer science; Quality (philosophy); Voltage regulation; Voltage regulator; Power quality; Link (geometry); Electrical engineering; Engineering; Computer network","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001958935,0.0005209302,0.0003071357,0.0003500787,0.0001798698,0.0005425838,0.0005042864,0.0003193975,0.001790771],"category_scores_gemma":[0.0003869549,0.0001215759,0.0002848026,0.0002160882,0.0002091001,0.0004323792,0.0004617128,0.0003693718,0.0002908721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002121518,"about_ca_system_score_gemma":0.000274075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003871017,"about_ca_topic_score_gemma":0.0007042291,"domain_scores_codex":[0.9998428,0.00003672376,0.000011779,0.00002383825,0.00006981997,0.00001506255],"domain_scores_gemma":[0.9998912,0.00002352816,0.00002338093,0.0000163042,0.00003734951,0.000008362607],"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":[0.0001874907,0.0001800153,0.001349221,0.0007291206,0.00009618309,0.0003467791,0.0002885833,0.2997898,0.1240349,0.02911067,0.0014618,0.5424254],"study_design_scores_gemma":[0.00006589149,0.001284372,0.002190945,0.0001357991,0.0001050129,0.0006084637,0.0001825423,0.9158919,0.04600855,0.01222905,0.02125021,0.00004725067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03880932,0.0007471779,0.9493688,0.0001015081,0.00003267217,0.0001388958,0.0000307339,0.0003027082,0.01046803],"genre_scores_gemma":[0.9148152,0.0004688266,0.08197223,0.00005795513,0.0000236888,0.00007872927,0.00004521059,0.00003079227,0.002507356],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001790771,"threshold_uncertainty_score":0.005990684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09577664667269742,"score_gpt":0.338827490279343,"score_spread":0.2430508436066456,"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."}}