{"id":"W3209895820","doi":"10.32920/ryerson.14653110.v1","title":"A Holistic Approach to and Automation of Wide Area Protection Coordination","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Workflow; Automation; Computer science; Systems engineering; Key (lock); Reliability (semiconductor); Process (computing); Electric power system; Documentation; Distributed computing; Risk analysis (engineering); Engineering; Computer security; Power (physics); Database; Operating system","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":[0.0001921057,0.0001707815,0.0002604434,0.0002648709,0.00002125323,0.00006878664,0.00006160413,0.0002400101,0.000006680258],"category_scores_gemma":[0.0001298025,0.0001885398,0.00004094655,0.0002049116,0.000009003335,0.00009788833,0.00008330218,0.0002135347,0.000003551458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000188463,"about_ca_system_score_gemma":0.00001762159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002023036,"about_ca_topic_score_gemma":0.00003352675,"domain_scores_codex":[0.9991049,0.00004093978,0.0003112423,0.0002608375,0.0001761562,0.0001059572],"domain_scores_gemma":[0.9994832,0.00001792839,0.00007654157,0.000251042,0.0001215764,0.00004968926],"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":[0.00004134213,0.0002064275,0.0005405553,0.01834747,0.0005400888,0.000004403536,0.006643462,0.7532502,0.1198545,0.0005289352,0.002816186,0.09722641],"study_design_scores_gemma":[0.000148743,0.00002635335,0.005006035,0.0003378817,0.00003573935,0.00002110031,0.0002640989,0.9800485,0.01326368,0.0001122936,0.0004707471,0.000264788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1984626,0.00006812873,0.7938337,0.00001690589,0.0006652772,0.0008334418,0.000005883728,0.0003721964,0.005741835],"genre_scores_gemma":[0.9938592,0.000004215004,0.005463461,0.000004355043,0.00003816541,0.0003698574,0.00004267648,0.00002695454,0.0001911355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7953966,"threshold_uncertainty_score":0.7688429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02986670585685919,"score_gpt":0.2363919632288735,"score_spread":0.2065252573720143,"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."}}