{"id":"W1557636274","doi":"10.1029/2011wr010660","title":"Stochastic simulation of nonstationary oscillation hydroclimatic processes using empirical mode decomposition","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; Institut National de la Recherche Scientifique","funders":"","keywords":"Series (stratigraphy); Stochastic modelling; Bootstrapping (finance); Stochastic simulation; Computer science; Stochastic process; Nonparametric statistics; Resampling; Mode (computer interface); Algorithm; Mathematics; Econometrics; Statistics; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007815221,0.0002810152,0.0002868543,0.0002931861,0.0001810839,0.0003079139,0.0004310368,0.0003959555,0.0004325667],"category_scores_gemma":[0.002168234,0.0001554366,0.0003775028,0.0002902433,0.0002729126,0.000413245,0.0002961505,0.0004035841,0.00004660355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004705568,"about_ca_system_score_gemma":0.0005753175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01658306,"about_ca_topic_score_gemma":0.00768472,"domain_scores_codex":[0.999831,0.00007947389,0.00001111944,0.00003061246,0.00002749341,0.00002032713],"domain_scores_gemma":[0.99926,0.0004594031,0.0001108614,0.00005579377,0.00008616697,0.00002780012],"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":[0.00000795056,0.000008981986,0.0009865139,0.000003953772,0.000007241428,0.00001224022,0.0000109754,0.995643,0.0003671316,0.001658259,0.00002919715,0.001264652],"study_design_scores_gemma":[8.321571e-7,0.000001497297,0.0001049493,2.722372e-7,3.846504e-7,9.487821e-7,8.519481e-7,0.9997066,0.00003681866,0.0001324103,0.00001369238,6.491838e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4892501,0.00007294289,0.508467,0.0001107037,0.00001803678,0.00004380079,0.0001794572,0.0002386784,0.001619144],"genre_scores_gemma":[0.9781236,0.00004089216,0.02138814,0.000008867543,0.000003744077,0.00003584991,0.00009496838,0.00001247581,0.0002915257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01658306,"threshold_uncertainty_score":0.03297305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07821955739334815,"score_gpt":0.4358161355650361,"score_spread":0.3575965781716879,"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."}}