{"id":"W2920829711","doi":"10.1029/2018wr023382","title":"Model Variable Augmentation (MVA) for Diagnostic Assessment of Sensitivity Analysis Results","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sobol sequence; Bootstrapping (finance); Sensitivity (control systems); Variable (mathematics); Ranking (information retrieval); Reliability (semiconductor); Benchmark (surveying); Computer science; Variance (accounting); Sample (material); Statistics; Quality (philosophy); Econometrics; Variables; Mathematics; Machine learning; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01651466,0.001984188,0.001446351,0.004685095,0.0006193789,0.00163636,0.001257662,0.0008646614,0.003767174],"category_scores_gemma":[0.05532636,0.0004819296,0.001736409,0.001902413,0.0008534644,0.001288263,0.002144387,0.001648533,0.0003640762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007961008,"about_ca_system_score_gemma":0.001611566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001968698,"about_ca_topic_score_gemma":0.001688349,"domain_scores_codex":[0.9912224,0.005995974,0.0005252516,0.0007274063,0.001298344,0.0002306758],"domain_scores_gemma":[0.9543893,0.03543335,0.002893688,0.003570301,0.003426003,0.0002873147],"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":[0.001017165,0.0003573006,0.03255615,0.0008773459,0.0007798694,0.0005054787,0.0005272478,0.6229482,0.01359315,0.02605411,0.004564031,0.29622],"study_design_scores_gemma":[0.00001657865,0.0002039227,0.002125956,0.00005055535,0.00004977997,0.00006397399,0.00005117914,0.9878352,0.003559284,0.005022866,0.0009909001,0.00002971925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08121775,0.000286543,0.9108486,0.0001993802,0.0001091783,0.0005957301,0.0007661691,0.003625792,0.002350822],"genre_scores_gemma":[0.532952,0.00005975361,0.4649573,0.00005407182,0.00003018858,0.0006055705,0.0007773618,0.0002217656,0.0003420198],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01651466,"threshold_uncertainty_score":0.08733892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.189334227430587,"score_gpt":0.4449835016930166,"score_spread":0.2556492742624297,"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."}}