{"id":"W4319262619","doi":"10.1049/stg2.12102","title":"Guest Editorial: Transition towards deep decarbonisation of modern energy systems","year":2023,"lang":"en","type":"editorial","venue":"IET Smart Grid","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transition (genetics); Energy transition; Engineering physics; Nanotechnology; Computer science; Political science; Materials science; Chemistry; Engineering; Medicine","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001251448,0.0005524448,0.0009869123,0.0003490667,0.0001741383,0.0001351724,0.0006770933,0.002453755,0.00002185436],"category_scores_gemma":[0.001781023,0.000561656,0.0004068281,0.0006131281,0.0001928043,0.0002115173,0.0001443708,0.000852452,0.00004474427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007258822,"about_ca_system_score_gemma":0.001091656,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05671402,"about_ca_topic_score_gemma":0.005469822,"domain_scores_codex":[0.9939466,0.0006105661,0.0009826426,0.0008481856,0.002776295,0.00083575],"domain_scores_gemma":[0.9958325,0.0009131607,0.0003073134,0.0009180985,0.001778079,0.0002508467],"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":[0.0003412253,0.000115238,0.000002168223,0.0007177164,0.0002072111,0.00003082454,0.0002973252,0.02925149,0.00005234915,0.001590004,0.9660364,0.001358052],"study_design_scores_gemma":[0.0007393115,0.0002341351,0.000005122516,0.0001588651,0.0001064446,0.000001094141,0.0001355504,0.005457732,0.000160224,0.003956937,0.988564,0.0004806333],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001084116,0.0004600599,0.0004225817,0.0001165329,0.9943657,0.0002267327,0.0004944275,0.0003418316,0.003463741],"genre_scores_gemma":[0.009284215,0.0003594286,0.00001169373,0.000006743894,0.9836909,0.0002535848,0.004737245,0.0001563398,0.001499919],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.0512442,"threshold_uncertainty_score":0.9996835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01123046224935112,"score_gpt":0.2652795343943057,"score_spread":0.2540490721449545,"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."}}