{"id":"W1980494676","doi":"10.1541/ieejias.130.646","title":"Power Hardware-in-the-loop Simulation of a Gas Engine Cogeneration System for Developing a Power Converter System","year":2010,"lang":"en","type":"article","venue":"IEEJ Transactions on Industry Applications","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Opal-Rt Technologies (Canada)","funders":"","keywords":"Cogeneration; Gas engine; Hardware-in-the-loop simulation; Power (physics); Boost converter; Generator (circuit theory); Buck converter; Electricity; Engineering; Buck–boost converter; Automotive engineering; Electrical engineering; Electricity generation; Control engineering; Physics; Voltage","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":[0.0001980657,0.0002608571,0.0002210521,0.0001462824,0.0002216984,0.0003121536,0.000408776,0.0003704804,0.002122125],"category_scores_gemma":[0.0004198127,0.0001015861,0.0002004407,0.0001234621,0.0002562257,0.0003120569,0.000169289,0.0002969514,0.0001217184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002375755,"about_ca_system_score_gemma":0.0004378454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004616531,"about_ca_topic_score_gemma":0.003082147,"domain_scores_codex":[0.9999291,0.00002706896,0.000002623568,0.000007768594,0.00002506576,0.000008433228],"domain_scores_gemma":[0.9998369,0.00009855418,0.00001082147,0.00001427557,0.00002982996,0.000009619889],"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":[0.00006923604,0.00004227417,0.0007035483,0.00004565003,0.000007524512,0.00006836464,0.00006499796,0.9817088,0.008223477,0.002560284,0.0001594995,0.006346402],"study_design_scores_gemma":[0.000009141954,0.00002967252,0.0000757109,0.000001043076,0.000001634083,0.000004074549,0.000006923273,0.9978566,0.001689012,0.0001302512,0.0001946394,0.000001283803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6633428,0.00009113903,0.3145489,0.0001474595,0.00005510696,0.0001559625,0.0001539808,0.0009980063,0.02050671],"genre_scores_gemma":[0.9783396,0.00003233668,0.02009178,0.000007380341,0.000002394541,0.00005015497,0.00004241677,0.00001947319,0.001414401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004616531,"threshold_uncertainty_score":0.009179294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172411721085191,"score_gpt":0.2415168081731219,"score_spread":0.22979269096227,"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."}}