{"id":"W4285672937","doi":"10.1109/tec.2020.2992826","title":"IEEE Power & Energy Society","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Global Energy Security and Policy","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Fiat Chrysler Automobiles; Curtin University of Technology; Massachusetts Institute of Technology; RMIT University; College of Engineering, Michigan State University; University of Manitoba; Purdue University","keywords":"Power (physics); Electrical engineering; Energy (signal processing); Computer science; Engineering; Physics; Thermodynamics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006818423,0.0004356592,0.0003671716,0.0001053474,0.0004123673,0.00005380334,0.0004027083,0.0004287174,0.002529743],"category_scores_gemma":[0.000004752704,0.0004517385,0.0006202733,0.0006428812,0.0001486409,0.0002935475,0.000004843373,0.000346949,0.000607592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001523676,"about_ca_system_score_gemma":0.00009925086,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008145418,"about_ca_topic_score_gemma":0.001288231,"domain_scores_codex":[0.9977773,0.0001390074,0.0003742644,0.0006471979,0.0004754324,0.0005867491],"domain_scores_gemma":[0.9986835,0.0001046825,0.0001078005,0.0004776213,0.0001048174,0.0005215525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00103627,0.0009423775,0.000002731258,0.00007666129,0.0008522323,0.00005839564,0.003534939,0.4034675,0.04351578,0.3812638,0.1301506,0.03509864],"study_design_scores_gemma":[0.001051402,0.0001988069,0.000002490962,0.00001944408,0.00006073791,0.00001037913,0.0001076125,0.003566437,0.1153005,0.0003081869,0.8789147,0.000459232],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03125627,0.0003877158,0.7717111,0.01375949,0.007195404,0.0001654302,0.0002349274,0.002209343,0.1730804],"genre_scores_gemma":[0.9735826,0.0005170273,0.0003492786,0.01976047,0.0003078131,0.00002155934,0.000036821,0.00006935967,0.005355095],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9423263,"threshold_uncertainty_score":0.9997934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01876568753946804,"score_gpt":0.2263083844492277,"score_spread":0.2075426969097597,"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."}}