{"id":"W4283261634","doi":"10.1109/repec55671.2022.00019","title":"Leveraging Technology for Automation and NERC Compliance","year":2022,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services","funders":"","keywords":"Vendor; Automation; Event (particle physics); Computer science; Service (business); Reliability (semiconductor); Fault management; Computer security; Engineering management; Engineering; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003958006,0.00003030047,0.00003886504,0.00004668838,0.0001209558,0.000006385769,0.00004923717,0.00001335394,0.00003289219],"category_scores_gemma":[0.000004632403,0.00003162234,0.000006889061,0.00009229506,0.0000138653,0.00003169432,0.00002912556,0.00005468754,0.000001826332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001682266,"about_ca_system_score_gemma":0.000002567438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001796698,"about_ca_topic_score_gemma":0.000001660868,"domain_scores_codex":[0.9997834,0.000002408782,0.00004458648,0.00005968536,0.000033102,0.00007679164],"domain_scores_gemma":[0.9999151,0.00001597976,0.000004389588,0.00004958922,0.000005251948,0.000009695103],"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":[0.00002412439,0.00007846839,0.009333589,0.0007415887,0.00007605925,0.00001323458,0.004547338,0.5854564,0.07416444,0.1171203,0.03872482,0.1697196],"study_design_scores_gemma":[0.0001713928,0.00002353612,0.001382054,0.000004516452,0.000002104459,0.000023858,0.0005279644,0.9474689,0.002733174,0.002460596,0.04511439,0.00008748032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8987093,0.0006261485,0.09558732,0.0009578366,0.0004881771,0.0002047572,0.000004835982,0.0008451507,0.002576462],"genre_scores_gemma":[0.9969988,0.000008728995,0.002760624,0.00005037512,0.00001530287,0.00004833986,0.000001927699,0.000004540364,0.0001112919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3620126,"threshold_uncertainty_score":0.1289521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01845088198227264,"score_gpt":0.2270723156735933,"score_spread":0.2086214336913207,"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."}}