{"id":"W4297813296","doi":"10.48550/arxiv.physics/0304035","title":"A model for rapid stochastic distortions of small-scale turbulence","year":2003,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turbulence; Scale (ratio); Environmental science; K-epsilon turbulence model; Geology; Statistical physics; Meteorology; Physics; Geography; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003240732,0.0005515834,0.0006077439,0.0005092026,0.0005573651,0.001528683,0.001410536,0.001650964,0.00251792],"category_scores_gemma":[0.001021984,0.0003060221,0.0008271963,0.0005045251,0.001196465,0.001773877,0.001027109,0.001126879,0.0004878118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008602152,"about_ca_system_score_gemma":0.0007144593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003730382,"about_ca_topic_score_gemma":0.001813428,"domain_scores_codex":[0.9998154,0.0000340641,0.000009058158,0.00004542628,0.0000514807,0.00004458395],"domain_scores_gemma":[0.9996063,0.00009614897,0.0001078054,0.00004650751,0.00004901731,0.00009418216],"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":[0.0000827625,0.00006255564,0.00146254,0.00004795727,0.00002879458,0.0004084006,0.0001594661,0.6557452,0.006672341,0.331095,0.001550512,0.002684527],"study_design_scores_gemma":[0.00002322564,0.00002235557,0.000290481,0.000003806739,0.000005444499,0.00006787427,0.00001682692,0.9621724,0.0001941129,0.03636489,0.0008236087,0.00001485694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.41206,0.0007721261,0.5476211,0.002606546,0.000266338,0.0001754188,0.001211105,0.0006658279,0.03462153],"genre_scores_gemma":[0.9681358,0.0003685891,0.01686843,0.0001613631,0.0001302033,0.0001571991,0.000243298,0.00008220653,0.01385301],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003730382,"threshold_uncertainty_score":0.008423269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02258490893681983,"score_gpt":0.2094809349251826,"score_spread":0.1868960259883627,"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."}}