{"id":"W2536379000","doi":"10.1109/epc.2007.4520363","title":"VRB Modelling for the Study of Output Terminal Voltages, Internal Losses and Performance","year":2007,"lang":"en","type":"article","venue":"","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":119,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Internal resistance; Voltage; State of charge; Battery (electricity); Transient (computer programming); Energy storage; Scalability; Electrical engineering; Computer science; Transient voltage suppressor; Power (physics); Materials science; Automotive engineering; Engineering; Electronic engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0002382289,0.00005712145,0.0000653976,0.00004198608,0.00005384651,0.00002076028,0.00008304999,0.00001461593,0.000006912827],"category_scores_gemma":[0.000004522759,0.00003561211,0.00001147615,0.00003822261,0.0000197589,0.00005281982,0.00002740493,0.00005512535,8.844941e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001122276,"about_ca_system_score_gemma":0.000008096938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006338426,"about_ca_topic_score_gemma":0.00005951193,"domain_scores_codex":[0.9995473,0.000001852528,0.0001224911,0.00006111064,0.0001080085,0.0001592421],"domain_scores_gemma":[0.9997805,0.00007679423,0.000007958712,0.00007054709,0.00002682535,0.00003732423],"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":[0.000324195,0.0001875858,0.07395881,0.0003119784,0.000278059,0.00001586025,0.005831825,0.5898836,0.0003187906,0.0001332465,0.001363147,0.3273929],"study_design_scores_gemma":[0.000611932,0.0003275665,0.0378639,0.00002469903,0.000008994033,0.00000954824,0.001961486,0.9507436,0.00554197,0.00002177981,0.002769369,0.0001152191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.819445,0.0001257296,0.179278,0.000004674278,0.00004734849,0.0001050338,4.813583e-7,0.00002006133,0.0009737143],"genre_scores_gemma":[0.9973969,0.00005521888,0.00164903,0.000005592509,0.0000454584,0.000009799031,4.391977e-7,0.000007308684,0.0008302606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3608599,"threshold_uncertainty_score":0.1452219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02858139906750417,"score_gpt":0.2508321685456467,"score_spread":0.2222507694781425,"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."}}