{"id":"W7100531439","doi":"","title":"P3.15 CLOUDS AND PRECIPITATION FROM A GLOBAL NWP MODEL","year":2015,"lang":"en","type":"article","venue":"","topic":"Libraries and Information Services","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mesoscale meteorology; Precipitation; Numerical weather prediction; Quantitative precipitation forecast; Weather forecasting; Weather prediction; Climate model; Global Forecast System","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":[0.000501658,0.0007180383,0.0007899322,0.000343156,0.0008571534,0.001383733,0.002405318,0.001624607,0.007800484],"category_scores_gemma":[0.001455236,0.0007883118,0.001224711,0.001124725,0.000548469,0.001198246,0.0006601312,0.001849373,0.001517584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002057391,"about_ca_system_score_gemma":0.004872157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.429247,"about_ca_topic_score_gemma":0.3121997,"domain_scores_codex":[0.999842,0.00002791791,0.000007701471,0.00004420195,0.00004516347,0.00003287235],"domain_scores_gemma":[0.9995977,0.00005544889,0.0000249555,0.00006496136,0.0001596253,0.00009724959],"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":[0.0001994748,0.0001147419,0.01106711,0.00008272463,0.0001535581,0.0001289931,0.00004438686,0.9548191,0.001532452,0.00205673,0.02065435,0.009146388],"study_design_scores_gemma":[0.0002914898,0.00002257983,0.007758495,0.00001373908,0.0000435307,0.00001704802,0.00002778026,0.9823754,0.0009474447,0.001816689,0.00665196,0.00003378912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6794075,0.0006788264,0.05574581,0.005674964,0.00135952,0.0005555186,0.1436873,0.009469072,0.1034215],"genre_scores_gemma":[0.899718,0.0003074467,0.03172466,0.0006026303,0.0001656555,0.0002351806,0.05389544,0.0009588985,0.01239209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.429247,"threshold_uncertainty_score":0.853497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06815596179259184,"score_gpt":0.2331108117461692,"score_spread":0.1649548499535774,"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."}}