{"id":"W2591663199","doi":"10.1103/physics.10.12","title":"Reservoir Computing Speeds Up","year":2017,"lang":"en","type":"article","venue":"Physics","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche; Ottawa Hospital Research Institute","keywords":"Computer science; Environmental science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002056451,0.000136666,0.0001645928,0.00001669692,0.001124162,0.000852585,0.002463327,0.00003603111,0.000002001847],"category_scores_gemma":[0.00003353505,0.0001181211,0.00009387408,0.0001081509,0.00006716911,0.0006242224,0.001758063,0.0002217665,0.00007360701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001644496,"about_ca_system_score_gemma":0.00002724892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004568733,"about_ca_topic_score_gemma":0.000003212034,"domain_scores_codex":[0.998824,0.00003404693,0.0001569955,0.000344607,0.0002561255,0.0003842348],"domain_scores_gemma":[0.9981609,0.00007512563,0.0001973091,0.001394462,0.00007675445,0.00009542503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009610625,0.0001359763,0.01099891,0.00006798167,0.00006768443,0.0001157069,0.001169937,0.02904531,0.001273678,0.3282174,0.01676889,0.6121289],"study_design_scores_gemma":[0.0002841584,0.00003323632,0.007190675,0.00006147027,0.000003364708,0.000007964881,0.000007389604,0.9537624,0.001878217,0.03153171,0.004978638,0.0002607598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2399288,0.00009515082,0.7349536,0.003152381,0.003230542,0.0001497929,7.540554e-7,0.000344761,0.01814421],"genre_scores_gemma":[0.9853649,0.000006739961,0.01258909,0.0002034077,0.001260495,6.868837e-7,7.850122e-7,0.00001163668,0.0005622793],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9247171,"threshold_uncertainty_score":0.8646261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05265945637261005,"score_gpt":0.3056341845562905,"score_spread":0.2529747281836804,"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."}}