{"id":"W2770762229","doi":"10.1049/oap-cired.2017.1282","title":"Integrated asset monitoring, personnel safety, and reliability with next generation protection relays for distribution networks","year":2017,"lang":"en","type":"article","venue":"CIRED - Open Access Proceedings Journal","topic":"Electrical Fault Detection and Protection","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"General Electric (Canada)","funders":"","keywords":"Reliability (semiconductor); SAFER; Reliability engineering; Asset (computer security); Enabling; Engineering; Flash (photography); Computer science; Risk analysis (engineering); Computer security; 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":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0008230657,0.0002185986,0.0002380875,0.00007797503,0.002289405,0.006999566,0.0005676284,0.0002095705,0.00001440326],"category_scores_gemma":[0.0004014405,0.0001844654,0.0000490121,0.0002174351,0.00005398283,0.005406151,0.0001044802,0.0007525829,9.805742e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003860798,"about_ca_system_score_gemma":0.00003796794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008120966,"about_ca_topic_score_gemma":0.00001271341,"domain_scores_codex":[0.9988458,0.0000182193,0.000345548,0.0003069453,0.0001795854,0.0003038635],"domain_scores_gemma":[0.9988465,0.00001654156,0.0003063303,0.0001331747,0.0005333797,0.0001640204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004832722,0.0002010509,0.02469824,0.0005757546,0.0003917218,0.000008932256,0.0008710676,0.02894941,0.08086599,0.0004508257,0.006814202,0.8513401],"study_design_scores_gemma":[0.002534471,0.0007359968,0.02379773,0.0003116217,0.0001015072,0.0004023829,0.0002616935,0.9313962,0.0248623,0.0007324457,0.01424362,0.0006200046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5581703,0.0001624411,0.4369266,0.0005272736,0.001029598,0.002384803,0.00001419179,0.000203032,0.0005817661],"genre_scores_gemma":[0.9971451,0.0004561674,0.001028676,0.000009774777,0.000868619,0.0003393279,0.00002030903,0.00003944209,0.00009256961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9024468,"threshold_uncertainty_score":0.9990095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08186168420122761,"score_gpt":0.3272263138156515,"score_spread":0.2453646296144239,"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."}}