{"id":"W2079996559","doi":"10.1049/iet-gtd.2010.0725","title":"Adequacy equivalent development of composite generation and transmission systems using network screening","year":2011,"lang":"en","type":"article","venue":"IET Generation Transmission & Distribution","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; Electric power system; Electric power transmission; Computer science; Transmission (telecommunications); Power network; Power (physics); Engineering; Telecommunications; Electrical 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":[0.001094133,0.0005210889,0.0005072694,0.001076013,0.0002565589,0.0006726339,0.0004005507,0.0003083566,0.002892461],"category_scores_gemma":[0.003855766,0.0002397612,0.0004679075,0.0004091936,0.0003789478,0.000664759,0.0006416567,0.000444555,0.0002493932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003658419,"about_ca_system_score_gemma":0.0006302245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002475688,"about_ca_topic_score_gemma":0.003239697,"domain_scores_codex":[0.9993684,0.0002634195,0.00002626057,0.00006186286,0.0002481976,0.00003202878],"domain_scores_gemma":[0.9987918,0.0007640613,0.00008964439,0.00008359202,0.0002419803,0.00002896477],"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":[0.0001037025,0.00005853313,0.001571817,0.0001004901,0.00002654841,0.0002822464,0.0001308577,0.8546381,0.01215395,0.02164111,0.0005251093,0.1087675],"study_design_scores_gemma":[0.000005853965,0.00004352831,0.0002759185,0.000004861205,0.000007003967,0.00005126238,0.00001465672,0.9929128,0.002159565,0.00370358,0.0008156656,0.000005286897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01994846,0.00002181455,0.9760705,0.00001308365,0.000005176822,0.00005276483,0.00002858189,0.0002853267,0.003574311],"genre_scores_gemma":[0.60368,0.00008430832,0.3932244,0.00001639057,0.000008080358,0.0001464272,0.0001484434,0.0001208657,0.00257116],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002892461,"threshold_uncertainty_score":0.009676278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06878835774933588,"score_gpt":0.2374204542111022,"score_spread":0.1686320964617663,"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."}}