{"id":"W4414554071","doi":"10.1038/s41598-025-18261-x","title":"Input driven optimization of echo state network parameters for prediction on chaotic time series","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Reservoir computing; Hyperparameter; Echo state network; Series (stratigraphy); Chaotic; Time series; Network topology; Echo (communications protocol)","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":[0.0008872463,0.0001178175,0.0001865583,0.000160295,0.0003596758,0.0003055057,0.0003074465,0.00004672659,0.000003028053],"category_scores_gemma":[0.00008353241,0.0001011848,0.00009305113,0.0009366828,0.0001036751,0.0003256699,0.000185433,0.00007575028,0.000001635884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003500385,"about_ca_system_score_gemma":0.0001002498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002210127,"about_ca_topic_score_gemma":0.000001653178,"domain_scores_codex":[0.9982535,0.00005324111,0.0004894407,0.0006161549,0.0002890786,0.0002985962],"domain_scores_gemma":[0.9985922,0.00009768293,0.0003344876,0.0007194586,0.000202962,0.00005320193],"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":[0.000009875222,0.00002488388,0.0005490043,0.00002641922,0.00001568251,0.00001106884,0.00007520193,0.9852303,0.0002931537,0.0002801103,0.01073495,0.00274938],"study_design_scores_gemma":[0.00009740094,0.00009964524,0.0002150019,0.0001752231,0.000008242888,0.00001184892,0.000003115295,0.9815373,0.002757948,0.01289687,0.002106931,0.00009044437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0356028,0.00005132952,0.9520615,0.0004608869,0.01046554,0.0006307753,0.0000026647,0.0001664086,0.0005580651],"genre_scores_gemma":[0.7115802,0.00001766774,0.2748066,0.000205781,0.0002212987,0.00007227069,0.0001463735,0.00002698505,0.01292278],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6772549,"threshold_uncertainty_score":0.4126196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009385920064121995,"score_gpt":0.2236857365089987,"score_spread":0.2142998164448767,"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."}}