{"id":"W1965873940","doi":"10.1002/j.2334-5837.2003.tb02648.x","title":"6.4.3 Risk Informed Design for System Life Cycle","year":2003,"lang":"en","type":"article","venue":"INCOSE International Symposium","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Probabilistic risk assessment; Risk analysis (engineering); Probabilistic logic; Nuclear power; Reliability engineering; Nuclear power plant; Risk assessment; Reliability (semiconductor); Component (thermodynamics); Computer science; Engineering; Systems engineering; Power (physics); Computer security; Business","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":[0.002730586,0.001040214,0.0005076954,0.0005546047,0.00037763,0.001804531,0.001010339,0.001098297,0.007961973],"category_scores_gemma":[0.002832131,0.0005608794,0.001150026,0.0002391041,0.0006380216,0.001048981,0.001050949,0.001183463,0.001395312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001181082,"about_ca_system_score_gemma":0.00217919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001197182,"about_ca_topic_score_gemma":0.001234824,"domain_scores_codex":[0.997842,0.0008339542,0.0000918829,0.0001370454,0.0009599249,0.0001352263],"domain_scores_gemma":[0.9987798,0.0004370119,0.000136952,0.0001934904,0.0004099554,0.00004279363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001083447,0.00005431786,0.0006921467,0.0002076325,0.00004948722,0.0001065696,0.0001256107,0.8711061,0.01156747,0.0601663,0.001372548,0.05444345],"study_design_scores_gemma":[0.00004457278,0.0002358552,0.0003893051,0.0001068672,0.00005455622,0.0001408244,0.0000482724,0.9118587,0.008818862,0.04644788,0.03182287,0.00003145279],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006937704,0.0002908464,0.9734085,0.0003237882,0.0000413493,0.0001445053,0.00007269649,0.0004550352,0.01832568],"genre_scores_gemma":[0.4519919,0.0006715592,0.5283875,0.0002916927,0.00005196541,0.0005447887,0.0002390359,0.000336438,0.01748507],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007961973,"threshold_uncertainty_score":0.02663541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05365556540440572,"score_gpt":0.3190205018863213,"score_spread":0.2653649364819155,"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."}}