{"id":"W2474992900","doi":"10.13140/rg.2.1.3762.2485","title":"Multi-State Reliability Analysis of Nuclear Power Plant Systems","year":2015,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Nuclear Safety Commission","keywords":"Reliability (semiconductor); Reliability engineering; State (computer science); Nuclear power plant; Computer science; Power (physics); Engineering; Physics; Nuclear physics; Programming language","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.00084539,0.0004277003,0.0004586785,0.0008497435,0.0003005828,0.0007778298,0.0005313886,0.0004731551,0.001452554],"category_scores_gemma":[0.002185098,0.0003544509,0.0007184907,0.0004425799,0.0007911398,0.0008029787,0.0005620099,0.0008322972,0.0001480571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009601479,"about_ca_system_score_gemma":0.0005133618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006668719,"about_ca_topic_score_gemma":0.002860575,"domain_scores_codex":[0.9996419,0.0001058694,0.00001512542,0.00006898912,0.0001155809,0.0000525644],"domain_scores_gemma":[0.999044,0.0006062689,0.0001333835,0.00005021208,0.000131855,0.00003432301],"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":[0.00001634216,0.00001002269,0.0004861797,0.0000265986,0.00001935689,0.00004463715,0.00004276295,0.9733152,0.001052568,0.02160503,0.0001481627,0.003233073],"study_design_scores_gemma":[6.832762e-7,0.000004223575,0.0001588568,0.000001786434,0.000002088886,0.000003781611,0.00000333043,0.9957449,0.00008438671,0.003927248,0.00006703271,0.000001797746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2394199,0.001549195,0.7450328,0.0007783887,0.00006363856,0.00005655167,0.0002642123,0.0003061516,0.0125292],"genre_scores_gemma":[0.9887609,0.0004420968,0.00765147,0.00002583083,0.00002801932,0.00004066687,0.00008652777,0.00002104607,0.002943466],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006668719,"threshold_uncertainty_score":0.01325983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03825884986536036,"score_gpt":0.2841021557232535,"score_spread":0.2458433058578931,"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."}}