{"id":"W2184965969","doi":"","title":"A New Framework for Effective and Efficient Global Sensitivity Analysis of Earth and Environmental Systems Models","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Sobol sequence; Sensitivity (control systems); Metric (unit); Computer science; Set (abstract data type); Range (aeronautics); Performance metric; Mathematical optimization; Mathematics; Engineering","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":[0.01017818,0.002922665,0.002179162,0.003531924,0.0008729193,0.002771872,0.002575671,0.001694188,0.003928036],"category_scores_gemma":[0.01441397,0.001393703,0.004082069,0.001806002,0.002668729,0.003246275,0.005108485,0.005216495,0.0006475605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001941573,"about_ca_system_score_gemma":0.002340181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003678698,"about_ca_topic_score_gemma":0.003047418,"domain_scores_codex":[0.9948088,0.002848929,0.0002782713,0.0005311956,0.001295424,0.0002373829],"domain_scores_gemma":[0.9937237,0.004213935,0.0004036927,0.0007723097,0.0007417144,0.0001447101],"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":[0.00001066665,0.00002527986,0.0002124102,0.0001048748,0.00008798992,0.00005352955,0.00008177695,0.7537427,0.001548126,0.2279496,0.0008184724,0.01536462],"study_design_scores_gemma":[0.000005513328,0.00002807538,0.0000756295,0.00003129324,0.0000190948,0.00002942471,0.00002167061,0.8516533,0.0005036827,0.143832,0.003781056,0.00001915104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002818601,0.00005040987,0.9987508,0.00006852271,0.00001037136,0.00001815352,0.00002754851,0.00005797909,0.0007344441],"genre_scores_gemma":[0.1045409,0.0004707862,0.8918744,0.0002376728,0.0001696069,0.0006015649,0.0002816997,0.0003392157,0.001484145],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01017818,"threshold_uncertainty_score":0.053828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08046749974514922,"score_gpt":0.3171221023714227,"score_spread":0.2366546026262735,"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."}}