{"id":"W3180341658","doi":"10.5194/egusphere-egu2020-599","title":"Predictability of Precipitation in Complex Terrain using the WRF Model with Varying Physics Parameterizations","year":2020,"lang":"en","type":"article","venue":"","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Hydro (Canada); University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Weather Research and Forecasting Model; Precipitation; Environmental science; Climatology; Quantitative precipitation estimation; Terrain; Quantitative precipitation forecast; Meteorology; Numerical weather prediction; Atmospheric sciences; Geography; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003454868,0.0004862195,0.0003701093,0.0003659171,0.0003894009,0.000810998,0.0006160314,0.0005493512,0.0006768819],"category_scores_gemma":[0.001751796,0.0002193264,0.0004369825,0.0005033812,0.0004046668,0.0005689763,0.0002866176,0.0006260316,0.000142748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001460325,"about_ca_system_score_gemma":0.00129132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3023787,"about_ca_topic_score_gemma":0.1365252,"domain_scores_codex":[0.9998546,0.00002944816,0.000007306623,0.00004059287,0.00002788617,0.00004026668],"domain_scores_gemma":[0.9994757,0.0001838951,0.00008788727,0.00006784066,0.0001186472,0.00006605663],"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":[0.00004178811,0.00003220066,0.01268735,0.000006193113,0.00001928925,0.00003265713,0.00001268574,0.9842284,0.000388468,0.0002505766,0.0003792432,0.001921123],"study_design_scores_gemma":[0.00001529545,0.000006255022,0.004317114,0.000001173082,0.000002786199,0.000003851947,0.000007800107,0.9953649,0.000109755,0.00008261029,0.00008407758,0.000004427542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946831,0.00004516009,0.002384689,0.0001470772,0.00001552463,0.00001522191,0.0009057758,0.0001560108,0.001647436],"genre_scores_gemma":[0.9978929,0.00003209757,0.0009746989,0.00001214789,0.000005685547,0.000007788093,0.0007940272,0.00001564706,0.0002650784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3023787,"threshold_uncertainty_score":0.6012372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1314362314762992,"score_gpt":0.269184343345428,"score_spread":0.1377481118691288,"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."}}