{"id":"W2104195238","doi":"10.1016/j.procs.2013.05.403","title":"A MapReduce Framework for Analysing Portfolios of Catastrophic Risk with Secondary Uncertainty","year":2013,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Uncertainty quantification; Data science; Risk analysis (engineering); Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002035613,0.0001773067,0.000337814,0.0005796788,0.0003549437,0.0005106995,0.001351156,0.00006095214,0.00007004262],"category_scores_gemma":[0.0009412579,0.0001172483,0.00008999725,0.003308589,0.0005985412,0.001261005,0.0001848666,0.0001771446,0.00002801527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003235514,"about_ca_system_score_gemma":0.0006926444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001194882,"about_ca_topic_score_gemma":0.00000881844,"domain_scores_codex":[0.9967585,0.0000481504,0.0006265944,0.0007972894,0.001337565,0.0004319386],"domain_scores_gemma":[0.9960155,0.0005957771,0.000717305,0.0007105829,0.001737334,0.0002235176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007372619,0.0001384069,0.08612986,0.00002337736,0.0000379847,0.000002876177,0.002719522,0.1930205,0.0003539277,0.004355531,0.0041302,0.7090141],"study_design_scores_gemma":[0.0003875767,0.0003784596,0.04528076,0.00005762629,0.00003573911,0.00003116506,0.000214888,0.8637012,0.001260842,0.08770602,0.0006317914,0.0003139511],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.32446,0.00004723695,0.6744907,0.0001819377,0.0002927841,0.000377693,0.00001652618,0.00002716117,0.0001059107],"genre_scores_gemma":[0.6303573,0.00002368203,0.3693266,0.00009063283,0.0001341634,0.0000325703,0.000003485417,0.000006848803,0.00002471821],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7087001,"threshold_uncertainty_score":0.4924687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02816554150572087,"score_gpt":0.3194657560178787,"score_spread":0.2913002145121578,"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."}}