{"id":"W4285672937","doi":"10.1109/tec.2020.2992826","title":"IEEE Power &amp; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004817312,0.0009218138,0.000385425,0.0009718692,0.0009894808,0.002498582,0.0005201842,0.00143105,0.09977128],"category_scores_gemma":[0.0006339653,0.0004271535,0.0004087258,0.001242075,0.0007300231,0.001686413,0.0010381,0.001678532,0.05521649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007012018,"about_ca_system_score_gemma":0.0009792299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003341948,"about_ca_topic_score_gemma":0.009208104,"domain_scores_codex":[0.9996891,0.00004155275,0.00001522794,0.00004507163,0.0001864175,0.00002265488],"domain_scores_gemma":[0.9995116,0.00004656909,0.00001430469,0.00008613928,0.0003019602,0.00003946388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005411565,0.00008720628,0.0004635036,0.0001579344,0.00002526866,0.0001249943,0.0001106144,0.002297495,0.003114423,0.03761682,0.5545216,0.4014261],"study_design_scores_gemma":[0.000003868822,0.00001876302,0.0003662453,0.00004420228,0.00000896011,0.00007964542,0.00003376148,0.001823654,0.001063781,0.004038294,0.9925136,0.000005353419],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003114922,0.00447572,0.04094543,0.005908671,0.006200862,0.00007843544,0.0005173472,0.001154301,0.9376043],"genre_scores_gemma":[0.02364752,0.003284437,0.006766846,0.0008212985,0.0006206713,0.00004848661,0.0006266796,0.0002224031,0.9639617],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9002287,"threshold_uncertainty_score":0.3337682,"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."}}