{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003701072,0.0002344562,0.0002394847,0.0002574221,0.0002288237,0.0005443007,0.0004259438,0.0003244597,0.0002655506],"category_scores_gemma":[0.001516764,0.0001291949,0.0002081346,0.0001472387,0.0005974669,0.0005302242,0.0004822867,0.0003609708,0.00002939269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000518554,"about_ca_system_score_gemma":0.0004551736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007110258,"about_ca_topic_score_gemma":0.003632022,"domain_scores_codex":[0.9998969,0.0000321639,0.000009057152,0.00001822643,0.00002127916,0.00002231967],"domain_scores_gemma":[0.9993386,0.0003095533,0.00013729,0.0001141384,0.00005680233,0.00004369439],"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":[0.0001346467,0.0001155254,0.02607764,0.00002666768,0.00002815787,0.0001332104,0.0001079797,0.9392398,0.01784531,0.003941384,0.0001452097,0.01220456],"study_design_scores_gemma":[0.00000496314,0.00003265271,0.001878475,0.000003750207,0.000003466615,0.000006243592,0.00001153417,0.9948678,0.0024701,0.0006311804,0.00008481116,0.000005035758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776263,0.00005588564,0.02055253,0.00006359132,0.00001119567,0.00001862985,0.00003274818,0.0001255412,0.001513625],"genre_scores_gemma":[0.9984851,0.000008755705,0.001450403,0.000003318173,0.000001500966,0.000002447255,0.000008480737,0.000003842876,0.00003610731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007110258,"threshold_uncertainty_score":0.01413774,"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."}}