{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003556147,0.0002627479,0.0007564633,0.0003495604,0.00006235696,0.0001574909,0.000920829,0.0002396129,0.1369558],"category_scores_gemma":[0.0006866241,0.0001555453,0.0004141807,0.0005810341,0.000159757,0.00003625067,0.00007105398,0.0002005757,0.002863867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006266777,"about_ca_system_score_gemma":0.0001475634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000308675,"about_ca_topic_score_gemma":0.003291046,"domain_scores_codex":[0.9954973,0.0005058794,0.000764068,0.000915121,0.002058254,0.0002593027],"domain_scores_gemma":[0.9969895,0.0007132419,0.0003179477,0.001667641,0.0001468783,0.0001648135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003940777,0.0001031099,0.0004578358,0.00001549458,0.00005396801,0.00000177589,0.00004518771,0.00005854135,0.000002971598,0.00447082,0.9548794,0.03990696],"study_design_scores_gemma":[0.0001248002,0.00003476546,0.001566345,0.00001361859,0.00006195022,5.218871e-7,0.00009132968,0.002226355,0.00000219185,0.01816801,0.977485,0.0002251022],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003763131,0.00008246863,0.0898308,0.001185218,0.0003124083,0.0002977784,0.0000369095,0.0001284599,0.9080883],"genre_scores_gemma":[0.01486343,0.00007825428,0.004391849,0.0001620749,0.0001723333,0.00002462485,0.00001630103,0.0001191191,0.980172],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1340919,"threshold_uncertainty_score":0.9979125,"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."}}