{"id":"W3206438888","doi":"10.36227/techrxiv.15176175.v1","title":"Automating Network Operation Centers with Superhuman Performance","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Mitacs","keywords":"Reinforcement learning; Computer science; Action (physics); Artificial intelligence; Automation; Face (sociological concept); Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002161228,0.0009444867,0.000515659,0.0004699138,0.0004908415,0.00103702,0.001438602,0.0008879835,0.002847736],"category_scores_gemma":[0.005540989,0.0003689278,0.0004166331,0.0002542337,0.001166662,0.001890346,0.001856371,0.001186644,0.0006964218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009665582,"about_ca_system_score_gemma":0.001277767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005976374,"about_ca_topic_score_gemma":0.005319653,"domain_scores_codex":[0.9989801,0.0003710532,0.00004270235,0.0002488125,0.0002029498,0.0001543757],"domain_scores_gemma":[0.9974653,0.001136831,0.0003558154,0.000603961,0.0002498585,0.0001884058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003120399,0.0003413635,0.005798401,0.0001890244,0.00008932858,0.0002164581,0.0005258352,0.8149215,0.01315953,0.01357046,0.002325299,0.1485508],"study_design_scores_gemma":[0.00002735654,0.0001153806,0.0007367978,0.00001561935,0.00002078954,0.00005642244,0.00008976128,0.9807524,0.006517884,0.008851642,0.002799512,0.00001641792],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1876915,0.0002767734,0.7961974,0.0008620278,0.00007214051,0.0002652066,0.00006957974,0.003883573,0.01068184],"genre_scores_gemma":[0.887807,0.0001258061,0.1096087,0.0001085533,0.00001443244,0.00008002077,0.00009296206,0.0001107306,0.002051814],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005976374,"threshold_uncertainty_score":0.0118832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006342908741879539,"score_gpt":0.1794790001133157,"score_spread":0.1731360913714362,"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."}}