{"id":"W2048781637","doi":"10.1142/s0218539312500192","title":"AGGREGATE RISK MEASURES FOR DYNAMIC SYSTEMS FROM OPERATIONAL DATA","year":2012,"lang":"en","type":"article","venue":"International Journal of Reliability Quality and Safety Engineering","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Context (archaeology); Aggregate (composite); Econometrics; Measure (data warehouse); Computer science; Risk measure; Index (typography); Failure rate; Economics; Statistics; Mathematics; Data mining; Geography","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":[0.00783593,0.001146343,0.0008961295,0.005980421,0.0003666187,0.003223066,0.0007845194,0.0006929048,0.001277531],"category_scores_gemma":[0.03065797,0.0003254247,0.0008429905,0.003272398,0.001140216,0.00498483,0.001947521,0.001745489,0.00031151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001304103,"about_ca_system_score_gemma":0.0008133616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001329381,"about_ca_topic_score_gemma":0.001030648,"domain_scores_codex":[0.9964197,0.001275003,0.0002805409,0.000431655,0.001452906,0.0001402189],"domain_scores_gemma":[0.9820711,0.01320313,0.002070491,0.001317104,0.001047773,0.0002903657],"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":[0.0000974319,0.00006853171,0.009742225,0.0003137306,0.0001841859,0.0002663718,0.0003781522,0.4752494,0.001796973,0.3380713,0.00218936,0.1716423],"study_design_scores_gemma":[0.000005665023,0.00008469359,0.003964672,0.00006168375,0.00002363341,0.000137222,0.00009113859,0.7436956,0.0005860861,0.2481155,0.003193262,0.00004083545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02803615,0.001201185,0.9682759,0.0002012448,0.00004198918,0.00006564972,0.0004262594,0.0002065562,0.001545049],"genre_scores_gemma":[0.7268156,0.002398253,0.265736,0.0001409768,0.0003662826,0.0003978466,0.002121535,0.0001100472,0.001913398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00783593,"threshold_uncertainty_score":0.04144084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1005895707328364,"score_gpt":0.4025087812061318,"score_spread":0.3019192104732954,"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."}}