{"id":"W4413557031","doi":"10.1109/isie62713.2025.11124809","title":"A Residential Hybrid Nanogrid Based on Solid State Transformer Technology","year":2025,"lang":"en","type":"article","venue":"","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transformer; Distribution transformer; Computer science; Electronic engineering; Electrical engineering; Automotive engineering; Engineering; Voltage","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":[0.00006882077,0.0001477801,0.0001376929,0.000543246,0.0001608015,0.00005640653,0.0003584831,0.0000324292,0.00006003432],"category_scores_gemma":[0.0001805721,0.0001238449,0.00006282646,0.0009057901,0.0001295863,0.0001600115,0.00002501806,0.0002086393,0.00007692709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002176119,"about_ca_system_score_gemma":0.00006382359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003590644,"about_ca_topic_score_gemma":0.000003154855,"domain_scores_codex":[0.9987088,0.00002350315,0.0001904839,0.0004591557,0.000222428,0.0003956295],"domain_scores_gemma":[0.9995419,0.00009833839,0.00002077867,0.0002757341,0.0000125289,0.00005070383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003556831,0.00003966262,0.0000260192,0.00001010457,5.511666e-7,0.00006848621,0.000004318167,0.001417642,0.9930719,0.001836796,0.0005131224,0.002975806],"study_design_scores_gemma":[0.0003292327,0.0001248085,0.00007043865,0.00002391116,0.000003086717,0.000009883424,0.000003033103,0.02361642,0.9701476,0.0006490783,0.004902341,0.000120189],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9588372,0.000007441934,0.01507145,0.005613639,0.001175025,0.0003536291,0.00001259278,0.0007093548,0.01821963],"genre_scores_gemma":[0.9918808,0.00002127047,0.00005610424,0.004368327,0.00001205784,0.00002316827,2.580434e-7,0.0000114063,0.003626606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03304357,"threshold_uncertainty_score":0.5050248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01175869190028156,"score_gpt":0.270532380301897,"score_spread":0.2587736884016154,"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."}}