{"id":"W4240434392","doi":"10.36227/techrxiv.15176175","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":"","funders":"Mitacs","keywords":"Computer science; Reinforcement learning; Action (physics); Automation; Artificial intelligence; Face (sociological concept); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002235681,0.001037819,0.0004824189,0.0005024996,0.0006266112,0.001251813,0.001821747,0.001002476,0.004835695],"category_scores_gemma":[0.005279195,0.0003884423,0.0004834733,0.0002868792,0.001073544,0.002056831,0.002146717,0.001170057,0.001252645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001184916,"about_ca_system_score_gemma":0.001542375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009885128,"about_ca_topic_score_gemma":0.009086377,"domain_scores_codex":[0.9987469,0.0004294796,0.00005640019,0.0003313031,0.0002665291,0.0001692563],"domain_scores_gemma":[0.9973717,0.001069453,0.0003442571,0.0006751035,0.0003278249,0.000211776],"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":[0.0003939346,0.0005550372,0.00903658,0.000234377,0.0001121465,0.0003067777,0.0007066214,0.6423712,0.02061766,0.01575436,0.006239241,0.303672],"study_design_scores_gemma":[0.00003019923,0.0001197777,0.0009422781,0.00001732951,0.00002525741,0.00006383526,0.0001202444,0.9773744,0.007549372,0.007616365,0.006120182,0.00002072299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1754213,0.0003582066,0.7932091,0.001217298,0.0001124355,0.0004152758,0.0001259559,0.008080347,0.02106009],"genre_scores_gemma":[0.8155846,0.0001842774,0.178668,0.0001759184,0.00002163909,0.0001456809,0.0002094905,0.0002301327,0.004780288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009885128,"threshold_uncertainty_score":0.01965517,"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."}}