{"id":"W2600692770","doi":"","title":"COMPREHENSIVE RISK ASSESSMENT FOR RELIABLE POWER SYSTEM OPERATION","year":2017,"lang":"en","type":"dissertation","venue":"University Library - University of Saskatchewan (University of Saskatchewan)","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reliability engineering; Computer science; Risk assessment; Risk analysis (engineering); Electric power system; Engineering; Systems engineering; Power (physics); Business; Computer security","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":[0.00306959,0.001754871,0.001163674,0.003157262,0.0004994139,0.00233514,0.00102055,0.0009496237,0.003329691],"category_scores_gemma":[0.009460906,0.0006775034,0.001291005,0.001569113,0.0005685556,0.002279254,0.00175212,0.001128078,0.0003282195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002189833,"about_ca_system_score_gemma":0.003664734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01434602,"about_ca_topic_score_gemma":0.01807083,"domain_scores_codex":[0.9981759,0.0004453218,0.00006160488,0.0001266215,0.0009726062,0.0002179345],"domain_scores_gemma":[0.9967325,0.001507016,0.00032658,0.0003097697,0.001008269,0.0001157719],"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":[0.0000997735,0.00006746713,0.005197172,0.0001280807,0.0002161218,0.0002061244,0.0001137722,0.9259851,0.001568219,0.01497867,0.002346879,0.04909261],"study_design_scores_gemma":[0.00001493929,0.0001469694,0.005813379,0.00007117906,0.0001410732,0.0001233229,0.0001433245,0.9639452,0.001036395,0.02704005,0.001488562,0.00003553377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2373477,0.001884628,0.7301776,0.0009160945,0.00005859407,0.0004114491,0.001223863,0.0008470586,0.02713311],"genre_scores_gemma":[0.950106,0.0007493864,0.04167839,0.00005791834,0.00004046276,0.0001450959,0.0008292148,0.00009586559,0.006297757],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01434602,"threshold_uncertainty_score":0.02852505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005639074036399867,"score_gpt":0.177495083127325,"score_spread":0.1718560090909251,"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."}}