{"id":"W2110562258","doi":"10.1007/s00382-013-1678-z","title":"Stochastic and deterministic multicloud parameterizations for tropical convection","year":2013,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Stochastic modelling; Convection; Mesoscale meteorology; Robustness (evolution); Statistical physics; Computer science; Applied mathematics; Meteorology; Mathematics; Physics; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.00006075002,0.00009541512,0.0001112978,0.000015102,0.0001666869,0.0000562614,0.00006460128,0.00006431017,0.000251931],"category_scores_gemma":[0.0001177014,0.00009055662,0.00003097141,0.00005421739,0.0001814077,0.0001341189,0.00008907091,0.00005033263,0.0001062822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009382446,"about_ca_system_score_gemma":0.000003159217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005355914,"about_ca_topic_score_gemma":0.00008894625,"domain_scores_codex":[0.9992732,0.00001958443,0.0001736869,0.0002328453,0.00006461366,0.0002360745],"domain_scores_gemma":[0.9995205,0.0001928396,0.00004341659,0.0001463734,0.0000104528,0.00008637066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004450461,0.002502736,0.4177682,0.001225744,0.0001407968,0.000009544973,0.004894086,0.3173362,0.04328516,0.112843,0.0007542241,0.09879526],"study_design_scores_gemma":[0.000271338,0.0000783328,0.03075604,0.000005499213,0.00002150495,0.000006678394,0.00006384367,0.9642602,0.000005019803,0.004391612,0.00003020509,0.0001097729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8547387,0.000001424927,0.1441634,0.0001605285,0.0001179007,0.0004935967,0.00006418431,0.00004300717,0.0002173118],"genre_scores_gemma":[0.994544,0.000009074153,0.005070934,0.0001027455,0.00001363858,0.0001549733,0.00004561621,0.00001287133,0.00004611307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.646924,"threshold_uncertainty_score":0.3692792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01248708464986433,"score_gpt":0.2372401156745196,"score_spread":0.2247530310246553,"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."}}