{"id":"W1993788402","doi":"10.1109/pes.2006.1709289","title":"Assessment of asset safety risk for transmission stations","year":2006,"lang":"en","type":"article","venue":"2006 IEEE Power Engineering Society General Meeting","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro One (Canada)","funders":"","keywords":"Risk analysis (engineering); Asset (computer security); Risk assessment; Safety standards; Context (archaeology); Electricity; Hazardous waste; Business; Electric utility; Electric power industry; Operations management; Engineering; Computer science; Computer security; Reliability engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002700336,0.0008061423,0.0003693468,0.00337479,0.0003643119,0.001313669,0.0008780604,0.0009012033,0.002465982],"category_scores_gemma":[0.006814354,0.0002761626,0.0009647048,0.001364024,0.0003668498,0.001057673,0.000986637,0.0005721876,0.0004249774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00111399,"about_ca_system_score_gemma":0.0005945717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003307275,"about_ca_topic_score_gemma":0.002868815,"domain_scores_codex":[0.997959,0.0004476475,0.000118591,0.0001806444,0.001209582,0.00008456894],"domain_scores_gemma":[0.9954652,0.002010157,0.001123619,0.0002600356,0.00103985,0.0001010468],"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":[0.0003663695,0.0003150995,0.1951232,0.000658075,0.0005640986,0.001260664,0.001571428,0.6118447,0.03075702,0.00985955,0.001697161,0.1459825],"study_design_scores_gemma":[0.00003091166,0.001693373,0.1973187,0.000323724,0.000407165,0.001188872,0.003113808,0.7590514,0.01851367,0.01174792,0.006454573,0.000155872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7787254,0.000625053,0.1986426,0.0002894662,0.0000273918,0.0005842156,0.001050953,0.0003047917,0.01975001],"genre_scores_gemma":[0.9734433,0.0003766416,0.02272832,0.00001761852,0.000009636223,0.000126973,0.00049401,0.00002549932,0.00277801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00337479,"threshold_uncertainty_score":0.01428097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003977683672809085,"score_gpt":0.2171955436630478,"score_spread":0.2132178599902387,"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."}}