{"id":"W2607009598","doi":"","title":"Reduction of Cascading Outage Risk Based on Risk Gradient and Markovian Tree Search.","year":2017,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reduction (mathematics); Cascading failure; Computer science; Electric power system; Mathematical optimization; Computation; Cascade; Reliability engineering; Power (physics); Algorithm; Mathematics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001126353,0.0007479838,0.0007880308,0.0008942232,0.000361648,0.0005193308,0.0007958194,0.000506037,0.001653253],"category_scores_gemma":[0.004572509,0.0003232035,0.0007186688,0.0005665206,0.0005816261,0.001232181,0.0009567641,0.0008671072,0.0001832687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007421421,"about_ca_system_score_gemma":0.001504708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004222387,"about_ca_topic_score_gemma":0.004017108,"domain_scores_codex":[0.9993285,0.0002507321,0.00003074755,0.00008188764,0.000247528,0.00006066379],"domain_scores_gemma":[0.9986849,0.0008087619,0.0001545311,0.00006972521,0.0002237561,0.00005828466],"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":[0.00005846936,0.00004932134,0.001301849,0.00008863021,0.00005289294,0.00007338248,0.00007422449,0.9122311,0.002245991,0.02474085,0.001154031,0.05792918],"study_design_scores_gemma":[0.000004983972,0.00003272788,0.0001831572,0.00000509349,0.00000722143,0.00002458045,0.000006970739,0.9928461,0.0003631785,0.00624266,0.0002781387,0.000005175079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01340652,0.0002406136,0.984199,0.0001055994,0.00001777705,0.00004824551,0.0000198904,0.0001413594,0.001820842],"genre_scores_gemma":[0.7475573,0.0003408236,0.249532,0.00009005788,0.00003941206,0.0001670989,0.0001052093,0.00008275903,0.002085287],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004222387,"threshold_uncertainty_score":0.008395612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03415659183247228,"score_gpt":0.1708606754637791,"score_spread":0.1367040836313068,"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."}}