{"id":"W2105095940","doi":"","title":"Incorporating multistate unit models in composite system adequacy assessment","year":2004,"lang":"en","type":"article","venue":"IEEE International Conference on Probabilistic Methods Applied to Power Systems","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Derating; Reliability engineering; Reliability (semiconductor); Statistic; Computer science; Point (geometry); Contingency; Engineering; Statistics; Mathematics; Power (physics)","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":[0.002292702,0.0006058975,0.000687645,0.0008120586,0.0003060977,0.001376734,0.0006484027,0.0007244787,0.001948071],"category_scores_gemma":[0.007630617,0.0004311639,0.0009523727,0.000814468,0.0005368536,0.002779374,0.001039136,0.001244447,0.0002731599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006054104,"about_ca_system_score_gemma":0.0007104655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004237168,"about_ca_topic_score_gemma":0.008200858,"domain_scores_codex":[0.9983551,0.001019095,0.00006181428,0.0001158608,0.0003605723,0.0000874992],"domain_scores_gemma":[0.9956403,0.00303771,0.0004245174,0.0004785694,0.0003389245,0.00007985298],"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":[0.0000645675,0.0000229031,0.0009098519,0.00001672213,0.00001985871,0.00003706869,0.00005594778,0.9823208,0.000458756,0.007180694,0.0001171384,0.00879575],"study_design_scores_gemma":[0.000003506621,0.00003804037,0.0002052951,0.000004397147,0.000006674411,0.00001309183,0.0000129759,0.9952755,0.00026402,0.003928326,0.0002404769,0.000007598909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0904809,0.000115363,0.9048199,0.0001033905,0.00002747481,0.00006820187,0.0001361714,0.0004571294,0.003791571],"genre_scores_gemma":[0.9097214,0.0001422598,0.08866295,0.00004196413,0.00001279059,0.0001158124,0.0001585509,0.00006042805,0.001083808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004237168,"threshold_uncertainty_score":0.01212513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07335873096877843,"score_gpt":0.3513144251169812,"score_spread":0.2779556941482028,"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."}}