{"id":"W4390768043","doi":"10.1016/j.compag.2023.108609","title":"Short-term drought Index forecasting for hot and semi-humid climate Regions: A novel empirical Fourier decomposition-based ensemble Deep-Random vector functional link strategy","year":2024,"lang":"en","type":"article","venue":"Computers and Electronics in Agriculture","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Computer science; Artificial intelligence; Convolutional neural network; Deep learning; Random forest; Support vector machine; Evapotranspiration; Feature engineering; Machine learning; Data mining; Ecology","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":[0.0002313882,0.0002160896,0.0002441253,0.00005999454,0.0002836654,0.0001314682,0.00009462571,0.0002188278,0.00002156728],"category_scores_gemma":[0.000009197628,0.0001593249,0.0001054986,0.0003233048,0.00009731298,0.0001646073,0.00006889997,0.0003572589,0.00000274779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001392677,"about_ca_system_score_gemma":0.00002481252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001296484,"about_ca_topic_score_gemma":0.0006798051,"domain_scores_codex":[0.9986105,0.00003710835,0.0002413154,0.0005159514,0.0001436765,0.0004514257],"domain_scores_gemma":[0.9994614,0.0002857451,0.00003962572,0.00009834304,0.00001370997,0.0001012466],"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":[0.002289785,0.001063173,0.174492,0.0007442181,0.0009987418,0.000291582,0.00250045,0.6427327,0.02569718,0.007531417,0.038435,0.1032237],"study_design_scores_gemma":[0.001027898,0.0002162223,0.01644814,0.00007523425,0.0001017766,0.0001277007,0.0000213435,0.9743355,0.0001410366,0.001622397,0.005567927,0.0003148101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6672779,0.003353416,0.3266738,0.001757795,0.0001824959,0.0004130689,0.00001676381,0.00007921627,0.0002455345],"genre_scores_gemma":[0.9970171,0.000199944,0.001997417,0.0003408437,0.0001693864,0.00005709374,0.0001370404,0.00001259727,0.00006858631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3316028,"threshold_uncertainty_score":0.6497083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0188966368762474,"score_gpt":0.2586719229606608,"score_spread":0.2397752860844134,"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."}}