{"id":"W1967968392","doi":"10.1115/pvp2002-1383","title":"Using QRA to Make Maintenance Trade-Off Decisions","year":2002,"lang":"en","type":"article","venue":"","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Air Canada","funders":"","keywords":"Risk analysis (engineering); Event (particle physics); Risk assessment; Reliability (semiconductor); Computer science; Risk management; Takeoff; Reliability engineering; Operations research; Business; Engineering; Computer security","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":[0.01243029,0.001280319,0.001358674,0.003539919,0.0006881095,0.00252572,0.001203446,0.001016555,0.004391597],"category_scores_gemma":[0.03385551,0.0006969151,0.001176467,0.001099127,0.0009420485,0.003222852,0.001349419,0.001450034,0.0007503809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009963528,"about_ca_system_score_gemma":0.001678349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002078898,"about_ca_topic_score_gemma":0.002404229,"domain_scores_codex":[0.9935598,0.004100926,0.0003470855,0.0004862795,0.001307981,0.0001980079],"domain_scores_gemma":[0.9721574,0.02171235,0.002548106,0.001140619,0.002142631,0.0002989826],"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":[0.0002233976,0.0001911372,0.003760896,0.0003108006,0.0002443694,0.0001456932,0.0004476029,0.7226288,0.003440665,0.0557443,0.001468589,0.2113937],"study_design_scores_gemma":[0.00002887527,0.0001269843,0.0006641801,0.00004827961,0.00004156386,0.00005934752,0.00009340397,0.9357001,0.001218073,0.06015965,0.001816855,0.00004270176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01711991,0.0001655757,0.9787975,0.0003756994,0.00002484426,0.0001557852,0.0001097448,0.0004037968,0.002847068],"genre_scores_gemma":[0.4117827,0.0002297074,0.5864435,0.0001056193,0.00003679018,0.0002735223,0.000190531,0.00006394684,0.0008737689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01243029,"threshold_uncertainty_score":0.06573838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2536402526804508,"score_gpt":0.4000257023398139,"score_spread":0.1463854496593631,"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."}}