{"id":"W2761898619","doi":"10.1175/jas-d-17-0070.1","title":"Simulation of Mesoscale Cellular Convection in Marine Stratocumulus. Part I: Drizzling Conditions","year":2017,"lang":"en","type":"article","venue":"Journal of the Atmospheric Sciences","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Ames Research Center; National Aeronautics and Space Administration; U.S. Department of Energy","keywords":"Mesoscale meteorology; Marine stratocumulus; Stratification (seeds); Buoyancy; Convection; Environmental science; Atmospheric sciences; Moisture; Precipitation; Liquid water path; Climatology; Cloud physics; Geology; Meteorology; Mechanics; Cloud computing; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009504639,0.00006781308,0.0001727033,0.00001112825,0.0005582726,0.00008633717,0.0005371739,0.00003744376,0.001094759],"category_scores_gemma":[0.0004649966,0.00003910006,0.0000879528,0.0002322191,0.0004030132,0.0004893558,0.00002551702,0.000122592,0.000004727895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006150061,"about_ca_system_score_gemma":0.00006952387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003008276,"about_ca_topic_score_gemma":0.0003116983,"domain_scores_codex":[0.9988935,0.0001063288,0.0004086742,0.0001007091,0.0003476606,0.0001431003],"domain_scores_gemma":[0.9986516,0.0003423799,0.0007009816,0.0001704521,0.00007961355,0.00005502787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000007632939,0.00001139518,0.4045296,0.000001598385,0.00000364392,0.000001073406,0.00004113505,0.5942325,0.0002081857,0.00005762788,0.000006877259,0.0008987414],"study_design_scores_gemma":[0.0001767916,0.0001281437,0.5703377,0.00001748854,0.00001116341,0.000002080637,0.0001180746,0.4209324,0.0001677745,0.007917898,0.0001474968,0.00004304162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953609,0.00008148135,0.000197287,0.0004244293,0.000647173,0.00008403296,0.000002796839,0.000002823927,0.00319911],"genre_scores_gemma":[0.9986049,0.0000116818,0.001146599,0.00004929425,0.00009199901,1.852514e-7,7.763032e-7,9.653635e-7,0.00009361165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1733001,"threshold_uncertainty_score":0.9998184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03952382213928271,"score_gpt":0.2748969932287562,"score_spread":0.2353731710894735,"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."}}