{"id":"W4308232910","doi":"10.1109/tsg.2022.3212514","title":"IEEE Transactions on Smart Grid Publication Information","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Universidade de São Paulo; Zhejiang University; University of Waterloo; Kungliga Tekniska Högskolan; Tsinghua University; Nanyang Technological University; Hunan University; Pacific Northwest National Laboratory; York University; Universidad de Chile; Mississippi State University; National University of Singapore; Iowa State University; University of Tehran; University of Central Florida; Florida International University; University of Alberta; Rensselaer Polytechnic Institute","keywords":"Smart grid; Computer science; Grid; Telecommunications; Computer security; Engineering; Electrical engineering","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"],"consensus_categories":[],"category_scores_codex":[0.0002491353,0.0003021328,0.0002584055,0.0007422609,0.0007227608,0.0001190536,0.0003454552,0.0001615385,0.0006352396],"category_scores_gemma":[0.000003588174,0.0003314119,0.0002061613,0.0008288873,0.00004923862,0.0008934162,8.987867e-7,0.000859107,0.0005275937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004080531,"about_ca_system_score_gemma":0.00004750206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001502479,"about_ca_topic_score_gemma":0.00009712528,"domain_scores_codex":[0.9982608,0.00005381192,0.0005384751,0.0002609359,0.0004795087,0.0004064941],"domain_scores_gemma":[0.9990355,0.00007357622,0.000084945,0.0006175824,0.00008327293,0.0001051254],"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":[0.0001140744,0.0004819621,0.00001756316,0.0001581426,0.0003367392,0.000007212163,0.001205067,0.8193737,0.002408098,0.000263716,0.05115896,0.1244748],"study_design_scores_gemma":[0.001559472,0.0006892132,0.0003103867,0.00006128594,0.0001244412,0.0001254827,0.001016769,0.06191669,0.1047,0.00009015691,0.8283,0.00110608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0161833,0.0000419007,0.958645,0.0008457199,0.01460958,0.0006675328,0.0008994828,0.002783382,0.005324082],"genre_scores_gemma":[0.9976162,0.00007374477,0.0002346169,0.0002375056,0.00009739796,0.000981926,0.00005330584,0.00004970272,0.0006556164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9814329,"threshold_uncertainty_score":0.9999138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01166225473482338,"score_gpt":0.1980843687782528,"score_spread":0.1864221140434294,"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."}}