{"id":"W2595042679","doi":"","title":"The scaling cascade structure of the atmosphere and its models: emergent laws stochastic parametrizations","year":2012,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université du Québec à Montréal","funders":"","keywords":"Cascade; Scaling law; Atmosphere (unit); Statistical physics; Scaling; Computer science; Atmospheric model; Applied mathematics; Mathematics; Physics; Engineering; Meteorology; Geometry","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":[0.0008664494,0.0006961311,0.001042586,0.001195636,0.0008372526,0.002280837,0.001283409,0.001700095,0.003131041],"category_scores_gemma":[0.005311026,0.0005393518,0.001131276,0.0007051337,0.001956609,0.00374075,0.001407954,0.00178629,0.0002555134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00117219,"about_ca_system_score_gemma":0.0008440719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004706596,"about_ca_topic_score_gemma":0.002106545,"domain_scores_codex":[0.9997151,0.00009875809,0.00001588045,0.0000726071,0.00004993889,0.00004762644],"domain_scores_gemma":[0.9981017,0.0008468084,0.0003322538,0.0002178437,0.0001973557,0.0003041297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003033675,0.00004978888,0.002053425,0.00006898526,0.00003944767,0.0002086837,0.0002352202,0.2422103,0.00162852,0.7484797,0.001889493,0.003106219],"study_design_scores_gemma":[0.000009352158,0.00001003022,0.0006234939,0.000008637042,0.000009701853,0.00004933825,0.00002840882,0.8026175,0.00009802459,0.1960441,0.0004860858,0.00001539761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5615033,0.001639101,0.4005309,0.00388679,0.0002465186,0.0001213137,0.0006646813,0.0005897087,0.03081772],"genre_scores_gemma":[0.9854553,0.0009514262,0.00782194,0.0001486974,0.0002398597,0.00008888795,0.0001940527,0.000112419,0.004987547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004706596,"threshold_uncertainty_score":0.01047432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02524340429945614,"score_gpt":0.2059842668103549,"score_spread":0.1807408625108988,"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."}}