{"id":"W4235058415","doi":"10.1109/tsg.2021.3060848","title":"IEEE Transactions on Smart Grid Publication Information","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Power Systems and Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Pacific Northwest National Laboratory; Universidad de Castilla-La Mancha; RWTH Aachen University; Rensselaer Polytechnic Institute; Natural Resources Canada; Iowa State University","keywords":"Smart grid; Computer science; Grid; Telecommunications; Electrical engineering; Engineering; Mathematics","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001568332,0.0003152003,0.0002857426,0.000477001,0.0003248013,0.0001822935,0.0002231479,0.0003006205,0.0003395308],"category_scores_gemma":[0.000007710478,0.0003336543,0.0002206037,0.0007886963,0.00005292778,0.001074227,4.810489e-7,0.000621206,0.0009977205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002279932,"about_ca_system_score_gemma":0.00006819299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008034299,"about_ca_topic_score_gemma":0.0002257059,"domain_scores_codex":[0.9983696,0.00004014991,0.0005503185,0.0002788776,0.0003588377,0.0004022135],"domain_scores_gemma":[0.9988481,0.00008163109,0.00006900145,0.0006818105,0.0001957963,0.0001237096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001484677,0.00113075,0.0000507322,0.0006938027,0.001087398,0.00004234567,0.002035854,0.4809647,0.01691958,0.0007498547,0.0809858,0.4151908],"study_design_scores_gemma":[0.001242957,0.0002327497,0.0004105868,0.0001750144,0.0001267875,0.0001287772,0.0005038083,0.02686178,0.575579,0.00007973963,0.3937421,0.0009167626],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01154442,0.00006177774,0.9672168,0.000851195,0.01095932,0.0003555769,0.0004017932,0.002067877,0.006541234],"genre_scores_gemma":[0.9974787,0.0002416459,0.0006107295,0.0002401903,0.0001400215,0.0003087399,0.0000559589,0.00004867754,0.0008752921],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9859343,"threshold_uncertainty_score":0.9999115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01229264144844111,"score_gpt":0.2039672693711041,"score_spread":0.191674627922663,"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."}}