{"id":"W4377232631","doi":"10.1109/tec.2023.3272491","title":"IEEE Power & Energy Society Information","year":2023,"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":"University of Manitoba","funders":"","keywords":"Power (physics); Electrical engineering; Energy (signal processing); Environmental science; Computer science; Automotive engineering; Engineering; Physics; Thermodynamics","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001469134,0.0003533275,0.0002678291,0.0003799557,0.0005077972,0.00007520596,0.0003096889,0.0004245634,0.001062592],"category_scores_gemma":[0.000005063283,0.000366833,0.0004603351,0.001186544,0.0001127198,0.0008307463,0.000004875719,0.0002540055,0.002082357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002041382,"about_ca_system_score_gemma":0.00009316883,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0108611,"about_ca_topic_score_gemma":0.00161397,"domain_scores_codex":[0.9980268,0.000103582,0.000410464,0.0003412774,0.0005161783,0.0006017014],"domain_scores_gemma":[0.9988458,0.0001225224,0.0001212789,0.000526427,0.0001353641,0.0002486334],"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":[0.0003330742,0.0002985639,0.000001784694,0.00005181089,0.0003761529,0.0000133025,0.002221602,0.5097959,0.005144299,0.2858257,0.1404979,0.05543983],"study_design_scores_gemma":[0.0009221283,0.0000980394,0.00001370184,0.00002688525,0.00003807735,0.0000103417,0.0001940824,0.005833947,0.04274759,0.0007554264,0.9489583,0.0004014395],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09755528,0.0001302791,0.5848441,0.00561595,0.0203646,0.0002982489,0.0004961519,0.006408805,0.2842866],"genre_scores_gemma":[0.9834115,0.0007314341,0.0001347401,0.004374729,0.0001384722,0.00004323369,0.0001856148,0.00004157391,0.01093869],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8858562,"threshold_uncertainty_score":0.9998783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01306643374384907,"score_gpt":0.2277662252378269,"score_spread":0.2146997914939778,"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."}}