{"id":"W2085858998","doi":"10.1175/2010mwr3473.1","title":"Interpolation of LES Cloud Surfaces for Use in Direct Calculations of Entrainment and Detrainment","year":2010,"lang":"en","type":"article","venue":"Monthly Weather Review","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Entrainment (biomusicology); Interpolation (computer graphics); Grid; Meteorology; Physics; Offset (computer science); Cloud computing; Environmental science; Atmospheric sciences; Geology; Geodesy; Computer science; Classical mechanics","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":[0.0003701736,0.0003898204,0.0003478495,0.0005800137,0.00022995,0.0004178836,0.0004437729,0.0002165476,0.002480565],"category_scores_gemma":[0.001639453,0.000218579,0.0003100756,0.0005058204,0.0000814657,0.0003172701,0.0003836167,0.0004503257,0.0004525099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003682376,"about_ca_system_score_gemma":0.0003860144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005545008,"about_ca_topic_score_gemma":0.005371274,"domain_scores_codex":[0.9999,0.00001998768,0.000008266483,0.00001404029,0.00004584467,0.00001189554],"domain_scores_gemma":[0.9995735,0.0001702373,0.00003217964,0.00009023901,0.0001219951,0.00001184738],"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":[0.0004376167,0.0002589672,0.02171332,0.0003341335,0.00007052014,0.0004171119,0.0002935341,0.630543,0.09012996,0.01057532,0.004077759,0.2411488],"study_design_scores_gemma":[0.00002415594,0.00002653072,0.004323428,0.00001119992,0.00000449555,0.00003103315,0.00002186578,0.9756149,0.01560651,0.0008552733,0.00346791,0.00001269154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3506003,0.0003515684,0.6214576,0.0001040384,0.0001646985,0.0001999767,0.002865234,0.009537028,0.01471946],"genre_scores_gemma":[0.783038,0.000236252,0.2109718,0.00002322977,0.0000187599,0.0001887054,0.001433844,0.000640946,0.003448593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005545008,"threshold_uncertainty_score":0.01102549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0162324465233658,"score_gpt":0.2506780016150652,"score_spread":0.2344455550916994,"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."}}