{"id":"W4406340171","doi":"10.1002/qj.4928","title":"Study of a mixing‐fog event using <scp>WRF</scp>‐<scp>LES</scp> numerical simulations","year":2025,"lang":"en","type":"article","venue":"Quarterly Journal of the Royal Meteorological Society","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weather Research and Forecasting Model; Mixing (physics); Event (particle physics); Environmental science; Meteorology; Physics; Astrophysics","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":[0.0005934284,0.0006770907,0.0005873546,0.0006047038,0.0006814458,0.0008549771,0.0007695756,0.001170996,0.001510578],"category_scores_gemma":[0.001212386,0.0002424371,0.0006710143,0.0004403243,0.0005263351,0.0004600532,0.0003468116,0.0009043085,0.0001148273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007447074,"about_ca_system_score_gemma":0.0006561248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03487195,"about_ca_topic_score_gemma":0.01767892,"domain_scores_codex":[0.9998331,0.00004073253,0.0000137975,0.00002741327,0.00003578093,0.00004918692],"domain_scores_gemma":[0.9990989,0.0004952047,0.00007830559,0.00007704579,0.0001396312,0.0001110175],"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":[0.000289359,0.0006596847,0.02606831,0.00006134842,0.0001017908,0.0006562994,0.00007796382,0.9590722,0.006874948,0.0009257904,0.001015793,0.004196412],"study_design_scores_gemma":[0.00003393809,0.00004542103,0.004086671,0.000003991453,0.000006126608,0.00001041545,0.00002716532,0.9945346,0.001065807,0.00005274734,0.0001251733,0.000007901789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940263,0.00003391176,0.001830469,0.00009552638,0.00002907877,0.00006124776,0.0006736496,0.0002012038,0.003048668],"genre_scores_gemma":[0.997489,0.00001454199,0.001884301,0.00001933871,0.000007650357,0.00002377149,0.000357714,0.00001560009,0.0001881458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03487195,"threshold_uncertainty_score":0.06933796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03044284401343603,"score_gpt":0.2704621494529294,"score_spread":0.2400193054394934,"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."}}