{"id":"W2801186573","doi":"","title":"The Interaction between Cumulus and Microphysics Parameterization Schemes in WRF across Convective Grey Zone Resolutions: A Case Study.","year":2018,"lang":"en","type":"article","venue":"15th Conference on Cloud Physics/15th Conference on Atmospheric Radiation","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Weather Research and Forecasting Model; Meteorology; Environmental science; Mesocyclone; Convection; Climatology; Atmospheric sciences; Geography; Geology; Computer science; Radar","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000564463,0.0004150268,0.0004554232,0.00002062866,0.001121226,0.0005071208,0.0002969489,0.0001563147,0.0002190536],"category_scores_gemma":[0.0002300319,0.000323937,0.00007034285,0.000749758,0.0005017037,0.0005218301,0.00004101822,0.0005040378,0.0001762236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007112136,"about_ca_system_score_gemma":0.0001563852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002806757,"about_ca_topic_score_gemma":0.0022778,"domain_scores_codex":[0.9969284,0.0006468329,0.000624296,0.0007891781,0.0004177518,0.0005935553],"domain_scores_gemma":[0.997616,0.000871913,0.0004450406,0.0004956569,0.0003766939,0.0001946746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008674501,0.0005813174,0.2389038,0.00003131301,0.0001911119,0.00007777051,0.013059,0.01131133,0.000282213,0.02013735,0.00006075625,0.7144966],"study_design_scores_gemma":[0.002070443,0.003754959,0.2483038,0.00009358693,0.00006997993,0.00001707161,0.01027229,0.7188177,0.0001827961,0.01518042,0.0004835584,0.0007533696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894662,0.00005137242,0.007033813,0.0003074432,0.000599193,0.001085595,0.0000861173,0.00007746479,0.00129281],"genre_scores_gemma":[0.998484,0.0001125066,0.0004547915,0.0001726754,0.0005101585,0.00004217756,0.0001168562,0.00001384435,0.00009301835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7137432,"threshold_uncertainty_score":0.9999213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06161075153439897,"score_gpt":0.3133321406800412,"score_spread":0.2517213891456422,"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."}}