{"id":"W1644849421","doi":"10.48550/arxiv.physics/0203031","title":"Non-white noise and a multiple-rate Markovian closure theory for turbulence","year":2002,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Statistical Mechanics and Entropy","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Statistical physics; Decorrelation; Markov process; Turbulence; Closure (psychology); White noise; Propagator; Physics; Applied mathematics; Mathematics; Mechanics; Quantum mechanics; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001673294,0.0007011546,0.001026939,0.0008716019,0.0008256909,0.001533947,0.001463489,0.0009741603,0.002419904],"category_scores_gemma":[0.004187896,0.0003042656,0.001655771,0.0005229372,0.002141737,0.00309746,0.001198225,0.001780492,0.0003659971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00150566,"about_ca_system_score_gemma":0.001290526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003093316,"about_ca_topic_score_gemma":0.002000665,"domain_scores_codex":[0.9993528,0.0001793947,0.00003383432,0.00009354177,0.0002420825,0.00009840157],"domain_scores_gemma":[0.9982425,0.0009332791,0.0002859978,0.0001856572,0.0001906545,0.0001620322],"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":[0.00001035477,0.0000153944,0.0001593648,0.00001777778,0.000008189521,0.00004028153,0.00005186704,0.04786334,0.0006664332,0.9496149,0.0003309475,0.001221125],"study_design_scores_gemma":[0.00000733789,0.00001346803,0.0001237109,0.000008155276,0.000004560486,0.00003274066,0.00001005925,0.5754277,0.0002261274,0.4234359,0.0006979464,0.00001220638],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06922585,0.001070114,0.9144077,0.001093784,0.0001971024,0.00004805153,0.0002031645,0.0001599634,0.01359432],"genre_scores_gemma":[0.9060856,0.001312664,0.07798131,0.000274657,0.0004000334,0.0001945107,0.0002599567,0.0001465691,0.01334468],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003093316,"threshold_uncertainty_score":0.01092434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02319945796437083,"score_gpt":0.2498126068763388,"score_spread":0.2266131489119679,"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."}}