{"id":"W2125763169","doi":"10.1109/pes.2007.385814","title":"Novel Interfacing for Fuel Cell Based Distributed Generation","year":2007,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Interfacing; Distributed generation; Inverter; Transformer; Fuel cells; Grid; Computer science; Electrical engineering; Topology (electrical circuits); Engineering; Electronic engineering; Renewable energy; Voltage; Computer hardware","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":[0.0006843095,0.0003161398,0.0002551945,0.00005410822,0.00009577407,0.00008700605,0.0001373689,0.0002639006,0.00001288634],"category_scores_gemma":[0.00002781186,0.0003332538,0.0002433481,0.0001822716,0.00001431598,0.00007775964,0.00002312543,0.000229833,0.000006402702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001744311,"about_ca_system_score_gemma":0.0000153089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000115193,"about_ca_topic_score_gemma":0.000002192698,"domain_scores_codex":[0.9984806,0.000005968457,0.0004598191,0.0002723272,0.0001609266,0.0006203331],"domain_scores_gemma":[0.9994542,0.0001025265,0.00005840098,0.0001847962,0.00007669547,0.0001234009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002374337,0.00001019923,0.000003227442,0.0005230664,0.00002545348,6.464207e-7,0.0001292841,0.5005764,0.4978122,0.000003193385,0.0008933275,0.00002064992],"study_design_scores_gemma":[0.0004473287,0.00001815904,0.000008089948,0.00004641906,0.00001902215,0.00000199447,0.00002391651,0.5783219,0.4170178,0.000002639099,0.003822128,0.0002706273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2577114,0.001639857,0.7346796,0.0000248488,0.004177335,0.0002942054,0.00007762805,0.000711042,0.0006840992],"genre_scores_gemma":[0.906264,0.00006848807,0.09254091,0.00005911398,0.0007805997,0.00002735081,0.00008972011,0.0001204904,0.00004934813],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6485527,"threshold_uncertainty_score":0.999912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020424732895671,"score_gpt":0.2061464961173935,"score_spread":0.1959422487884367,"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."}}