{"id":"W4389723807","doi":"10.1109/neessc59976.2023.10349336","title":"Preface","year":2023,"lang":"en","type":"article","venue":"","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Battery (electricity); China; Summit; State (computer science); Computer science; Big data; Engineering; Library science; Power (physics); Engineering management; Political science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006692115,0.00004846141,0.00006345375,0.00004694866,0.00003521295,0.0000127131,0.00008015374,0.00003710492,0.0006985525],"category_scores_gemma":[0.000008696791,0.00003430282,0.0000303843,0.000256151,0.000007617229,0.00003384815,0.00003423827,0.00001948482,0.003068404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007874652,"about_ca_system_score_gemma":0.00000946869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003579873,"about_ca_topic_score_gemma":0.0009025926,"domain_scores_codex":[0.9995613,0.00001315722,0.00007828368,0.0001013428,0.00008287941,0.0001630197],"domain_scores_gemma":[0.9997609,0.00001608397,0.00001098609,0.0001587413,0.000009717081,0.00004361763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004939354,0.00001922037,0.0004178861,0.00001811571,0.00004775802,0.00003757936,0.0001969634,0.03389741,0.01277687,0.5990089,0.3318081,0.02176626],"study_design_scores_gemma":[0.00009150411,0.00000771117,0.0006847562,0.000003827452,0.000001126328,0.000002219594,0.00007183655,0.001150602,0.005072589,0.0009833266,0.9918647,0.00006579194],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0528015,0.00004986216,0.0002909813,0.0002597319,0.0008267524,0.00002294761,5.609304e-7,0.0007950657,0.9449526],"genre_scores_gemma":[0.6190086,0.00001264161,0.00004822402,0.0000710595,0.000105734,0.00000689347,0.000004406514,0.000009272222,0.3807332],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6600567,"threshold_uncertainty_score":0.9977078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01656720067440176,"score_gpt":0.2366656946478058,"score_spread":0.2200984939734041,"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."}}