{"id":"W2800665670","doi":"","title":"Examining Differences between Observed and Large-Eddy Simulations of Shallow Cumulus Cloud-Base Vertical Velocity","year":2018,"lang":"en","type":"article","venue":"15th Conference on Cloud Physics/15th Conference on Atmospheric Radiation","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Geology; Cloud computing; Large eddy simulation; Vertical velocity; Base (topology); Geodesy; Meteorology; Environmental science; Atmospheric sciences; Turbulence; Mechanics; Physics; Mathematics; Computer science","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":[0.0002818037,0.0003588594,0.0002390105,0.0002113876,0.0003438191,0.0005410629,0.0005240331,0.0006096174,0.0008557951],"category_scores_gemma":[0.00158117,0.0002519779,0.0004335716,0.0002793494,0.0002468049,0.0005748147,0.0002469196,0.0004834445,0.00009616677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005700521,"about_ca_system_score_gemma":0.0005277472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02623313,"about_ca_topic_score_gemma":0.02320952,"domain_scores_codex":[0.9998884,0.00001373729,0.00001099095,0.00004437735,0.00001424674,0.0000282244],"domain_scores_gemma":[0.9994659,0.000274016,0.00004878487,0.0000616371,0.00008428015,0.00006545585],"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":[0.001685801,0.001253136,0.2501596,0.0002001637,0.0004646398,0.0003496245,0.0003950627,0.6475489,0.0785226,0.001615355,0.001971174,0.01583382],"study_design_scores_gemma":[0.0001703741,0.0002111659,0.1659674,0.00001627602,0.00005875682,0.00004432665,0.0001352151,0.8203264,0.0123283,0.00019078,0.000514448,0.0000364146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988288,0.00001836692,0.0003770261,0.00003069855,0.00001170388,0.000004509703,0.0002471695,0.00006313324,0.0004186225],"genre_scores_gemma":[0.9993926,0.000007064273,0.000250956,0.000009801908,0.000002738655,0.000002430251,0.0002468188,0.00001063113,0.00007694623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02623313,"threshold_uncertainty_score":0.05216086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05853543057388356,"score_gpt":0.257163094038675,"score_spread":0.1986276634647915,"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."}}