{"id":"W4230942073","doi":"10.1002/9781118849972.ch18","title":"Probabilistic Transient Stability Assessment","year":2014,"lang":"en","type":"other","venue":"","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Hydro (Canada)","funders":"","keywords":"Probabilistic logic; Randomness; Transient (computer programming); Fault (geology); Stability (learning theory); Monte Carlo method; Computer science; Reliability engineering; Engineering; Mathematics; Statistics; Artificial intelligence; Machine learning","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":[0.002244712,0.00134873,0.0009742865,0.003018694,0.0008867736,0.00253039,0.001448129,0.001058151,0.02033606],"category_scores_gemma":[0.009486905,0.0003814888,0.0012355,0.002199698,0.0007713601,0.002894983,0.001967852,0.001373865,0.00438595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001256557,"about_ca_system_score_gemma":0.001105182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001632545,"about_ca_topic_score_gemma":0.0009553377,"domain_scores_codex":[0.9976149,0.0005263502,0.0001081144,0.0002734743,0.001366371,0.0001108568],"domain_scores_gemma":[0.9973592,0.001271658,0.000203054,0.000296578,0.000823886,0.00004556403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006781096,0.00004538779,0.001508441,0.0003411446,0.00007117706,0.0001661553,0.0001379544,0.3283467,0.002574106,0.331025,0.01915663,0.3165595],"study_design_scores_gemma":[0.00001187047,0.000062615,0.001143966,0.0002203837,0.00005992467,0.0004565398,0.00009615174,0.6089495,0.003376361,0.279888,0.105662,0.00007268263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003624367,0.003418233,0.9049003,0.0008297023,0.0002354001,0.0001078244,0.0005213487,0.001070326,0.08529241],"genre_scores_gemma":[0.5626733,0.02164836,0.3377526,0.0005824973,0.001266127,0.0006312025,0.002621764,0.001312074,0.07151196],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02033606,"threshold_uncertainty_score":0.06803089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09293481104825262,"score_gpt":0.3928725895469571,"score_spread":0.2999377784987045,"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."}}