{"id":"W2092331698","doi":"10.1103/physreve.70.051110","title":"Soft threshold stochastic resonance","year":2004,"lang":"en","type":"article","venue":"Physical Review E","topic":"stochastic dynamics and bifurcation","field":"Physics and Astronomy","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stochastic resonance; Fisher information; Measure (data warehouse); Information transmission; SIGNAL (programming language); Computer science; Noise (video); Threshold model; Information theory; Transmission (telecommunications); Statistical physics; Resonance (particle physics); Mathematics; Physics; Artificial intelligence; Statistics; Data mining; Machine learning; Telecommunications; Quantum mechanics","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":[0.00006231396,0.0001297517,0.0002274113,0.00001173817,0.00005952574,0.00001683604,0.0001421902,0.000008590589,0.00005644649],"category_scores_gemma":[0.00001483255,0.0001049292,0.0001327628,0.0001622278,0.00003587141,0.00006797847,0.00003723724,0.0001223014,0.0003633824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002291226,"about_ca_system_score_gemma":0.00004618927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002760323,"about_ca_topic_score_gemma":5.955629e-7,"domain_scores_codex":[0.9992703,0.000007104858,0.000151155,0.0002114122,0.0001686277,0.0001914081],"domain_scores_gemma":[0.9995447,0.00003497981,0.00006730342,0.000234538,0.00004610172,0.00007232083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004210882,0.000320838,0.00009101277,0.0001259635,0.00002140838,4.998543e-7,0.00005650601,0.001186792,0.0004293354,0.9259267,0.0005603484,0.0712764],"study_design_scores_gemma":[0.001125972,0.0001451683,0.002156283,0.003924237,0.0002184719,0.000002022809,0.00002277064,0.01475545,0.000196788,0.9654639,0.01124873,0.0007402599],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09265532,0.02192257,0.833892,0.003655582,0.0005400931,0.001764638,0.00008248555,0.0001791968,0.04530811],"genre_scores_gemma":[0.99858,0.00006104435,0.0001739863,0.0003734266,0.0006218971,0.00006887924,0.00002462578,0.00001367446,0.00008243739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9059247,"threshold_uncertainty_score":0.4670666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01334292224713766,"score_gpt":0.2893670037785724,"score_spread":0.2760240815314347,"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."}}