{"id":"W4313558432","doi":"10.1002/qj.4414","title":"Implementation of a double moment cloud microphysics scheme in the UK met office regional numerical weather prediction model","year":2023,"lang":"en","type":"article","venue":"Quarterly Journal of the Royal Meteorological Society","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"H2020 Environment; Natural Environment Research Council; Horizon 2020 Framework Programme; Nuclear Safety and Security Commission; Sight Research UK; Newton Fund; National Aeronautics and Space Administration","keywords":"Precipitation; Meteorology; Environmental science; Numerical weather prediction; Middle latitudes; Cloud computing; Moment (physics); Atmospheric sciences; Cloud height; Cloud physics; Cloud cover; Climatology; Computer science; Geology; Geography; Physics","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":[0.0003628627,0.0003935011,0.0004200403,0.000166473,0.0003107109,0.0006151921,0.0009880037,0.0005859444,0.002488171],"category_scores_gemma":[0.00144597,0.000315365,0.0003025673,0.0002275598,0.0002752004,0.00064336,0.000585658,0.0005939513,0.0003577696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00136846,"about_ca_system_score_gemma":0.001036129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1360862,"about_ca_topic_score_gemma":0.0769732,"domain_scores_codex":[0.999795,0.00005411975,0.00001863844,0.00004371643,0.00004364965,0.00004494222],"domain_scores_gemma":[0.9994795,0.0001499212,0.00006304791,0.0001001571,0.0001439294,0.00006352816],"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":[0.0001961142,0.00005869041,0.008048801,0.00002707699,0.00002327785,0.00007810726,0.00004478843,0.978456,0.002758217,0.001279869,0.001334295,0.007694827],"study_design_scores_gemma":[0.00002655868,0.00002022147,0.0009199888,0.000001407372,0.000003262379,0.000003714536,0.000005625855,0.9980478,0.0004887103,0.00007643909,0.0004011389,0.00000499078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.935205,0.00009222102,0.04531979,0.0003988672,0.0001090192,0.0001382498,0.002566353,0.002255641,0.01391488],"genre_scores_gemma":[0.9854344,0.00001884682,0.01249546,0.00002355206,0.00000653575,0.00004521497,0.0006721254,0.00005602516,0.001247836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1360862,"threshold_uncertainty_score":0.2705882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03533381821374819,"score_gpt":0.2664924023989187,"score_spread":0.2311585841851705,"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."}}