{"id":"W4392577972","doi":"10.5194/egusphere-egu24-11277","title":"Accurate monthly forecasting of Rainfall pattern in Atlantic climates: an Empirical Fourier Decomposition-based Deep ensemble learning paradigm","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Climatology; Ensemble learning; Decomposition; Econometrics; Ensemble forecasting; Environmental science; Computer science; Artificial intelligence; Meteorology; Geography; Geology; Mathematics; Ecology","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":[0.0004508054,0.000322785,0.0002763383,0.0002877097,0.0001292216,0.0003214421,0.0004689819,0.0003369779,0.0003935981],"category_scores_gemma":[0.0007517826,0.000134131,0.0003552699,0.0002877918,0.0001370103,0.0005115921,0.0003293219,0.0005600058,0.00008508727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000286049,"about_ca_system_score_gemma":0.0004275304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01045768,"about_ca_topic_score_gemma":0.01115038,"domain_scores_codex":[0.9999285,0.00001539927,0.000005634483,0.00001605906,0.00001954517,0.00001491722],"domain_scores_gemma":[0.9998598,0.00005406321,0.00001865451,0.00001399121,0.00004599369,0.000007413207],"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":[0.00004260801,0.0000487497,0.003781559,0.00001926789,0.00005151598,0.00005833207,0.00003956574,0.8718551,0.004361373,0.002968982,0.0005450443,0.1162278],"study_design_scores_gemma":[4.81229e-7,0.00000289841,0.0001874618,7.411409e-7,0.000002057802,0.000002132414,0.000001608082,0.9993767,0.0001661671,0.0002173852,0.000041435,9.567734e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1860094,0.0004081767,0.8106582,0.000281308,0.00004025652,0.00001885519,0.0001065507,0.000314358,0.002162799],"genre_scores_gemma":[0.9374927,0.0002647252,0.06086203,0.00004246346,0.00002646428,0.00002025261,0.0001878254,0.00001629702,0.001087131],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01045768,"threshold_uncertainty_score":0.02079368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04929531911331204,"score_gpt":0.3176215995205704,"score_spread":0.2683262804072584,"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."}}