{"id":"W2151095700","doi":"10.1175/2007jas2511.1","title":"Small-Scale Moist Turbulence in Numerically Generated Convective Clouds","year":2008,"lang":"en","type":"article","venue":"Journal of the Atmospheric Sciences","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Université du Québec à Montréal","keywords":"Liquid water content; Environmental science; Atmospheric sciences; Turbulence; Cloud physics; Entrainment (biomusicology); Convection; Meteorology; Condensation; Physics; Cloud computing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004496855,0.0005069748,0.0006480502,0.0004397065,0.0006383792,0.0009936861,0.0008055258,0.0008726161,0.001004905],"category_scores_gemma":[0.00202706,0.0003028694,0.0005924344,0.0004335114,0.001037832,0.0004984784,0.0006018081,0.0008093034,0.00008729647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001004834,"about_ca_system_score_gemma":0.0007610702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02440569,"about_ca_topic_score_gemma":0.009245679,"domain_scores_codex":[0.9998241,0.00005076021,0.00001117965,0.00002275235,0.0000343919,0.00005673521],"domain_scores_gemma":[0.9988752,0.0006902479,0.0001005216,0.00005763924,0.00012622,0.0001502131],"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":[0.000274257,0.0001653979,0.005438888,0.00002986013,0.00005312584,0.0001420445,0.00005528931,0.9894577,0.00240699,0.0008373869,0.0001442046,0.0009949685],"study_design_scores_gemma":[0.00007188437,0.000067904,0.00146429,0.000003556168,0.000007615052,0.000005893902,0.00002124848,0.9974213,0.0007097698,0.0001622455,0.00005826956,0.000006083716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976035,0.00004832922,0.001107403,0.00007249568,0.00001622863,0.00001482488,0.0001102442,0.00006489467,0.00096224],"genre_scores_gemma":[0.9989455,0.0000222271,0.0007065967,0.00001599822,0.000006438303,0.00001252425,0.0001138423,0.00001106545,0.0001658033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02440569,"threshold_uncertainty_score":0.04852724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01436417857349848,"score_gpt":0.1991191917225133,"score_spread":0.1847550131490148,"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."}}