{"id":"W2091738863","doi":"10.1175/mwr-d-14-00179.1","title":"Representing Richardson Number Hysteresis in the NWP Boundary Layer","year":2014,"lang":"en","type":"article","venue":"Monthly Weather Review","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Richardson number; Turbulence; Turbulence kinetic energy; Boundary layer; Eddy; Mechanics; Meteorology; Physics; Statistical physics; Mathematics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001501568,0.0001154903,0.0002537791,0.00001889481,0.0001364875,0.00006269757,0.0002946325,0.00003715626,0.0052026],"category_scores_gemma":[0.0002169131,0.00006198325,0.00009553173,0.0002430857,0.0000357617,0.0001126149,0.00001189984,0.0001421581,0.001067267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002393898,"about_ca_system_score_gemma":0.000007285965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000338062,"about_ca_topic_score_gemma":0.0005351751,"domain_scores_codex":[0.9984157,0.0005909093,0.000296548,0.0002311249,0.0002272252,0.0002384859],"domain_scores_gemma":[0.9991133,0.0003751641,0.00007721876,0.0003680783,0.00001671146,0.00004951974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001064876,0.00005212492,0.8085317,0.0004377807,0.00002054102,0.0000144718,0.0005833812,0.0008816228,0.000004193899,0.0005054789,0.008083906,0.1808741],"study_design_scores_gemma":[0.0001186733,0.00002900554,0.3583957,0.0002633021,0.00002729318,0.000002430288,0.00002574796,0.002428638,5.884605e-7,0.003282875,0.6352933,0.0001324273],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3443395,0.09911512,0.00007421558,0.003997873,0.0001942597,0.0008147786,0.0000232301,0.00005613079,0.5513849],"genre_scores_gemma":[0.9921072,0.001830968,0.0001995951,0.005030592,0.0001093704,0.000008487608,0.0000313366,0.000003665997,0.0006787527],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6477678,"threshold_uncertainty_score":0.9997105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03929599718430182,"score_gpt":0.2720793736695964,"score_spread":0.2327833764852946,"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."}}