{"id":"W2014772511","doi":"10.5194/gmd-7-737-2014","title":"Application and evaluation of a new radiation code under McICA scheme in BCC_AGCM2.0.1","year":2014,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Climate variability and models","field":"Environmental Science","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Longwave; Shortwave; Radiative transfer; Cloud fraction; Environmental science; Cloud cover; Atmospheric sciences; Flux (metallurgy); Meteorology; Atmosphere (unit); Climatology; Cloud computing; Physics; Geology; Materials science; Computer science; Optics","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":[0.002686793,0.00009430579,0.0001140253,0.00007187425,0.00008403707,0.00002176852,0.0001174501,0.0000607148,0.0001450728],"category_scores_gemma":[0.00005080301,0.00009490263,0.00001489268,0.0002410172,0.00008019624,0.0001563293,0.0001176675,0.00005095536,0.00004940999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002754864,"about_ca_system_score_gemma":0.00009993306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002222021,"about_ca_topic_score_gemma":0.0005393525,"domain_scores_codex":[0.9984221,0.00006106735,0.0003273885,0.0004325992,0.0005740186,0.0001828417],"domain_scores_gemma":[0.9995241,0.00002411603,0.00009999228,0.0002473048,0.0000233644,0.00008116836],"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":[0.00001618521,0.0001764017,0.01448289,0.00002577531,0.000004884605,2.686177e-8,0.005082056,0.7861041,0.01883166,0.002078116,0.0006592232,0.1725387],"study_design_scores_gemma":[0.0004268213,0.000004745826,0.07274543,0.000009036077,0.000007099037,3.145008e-7,0.00003619947,0.9137349,0.0008298382,0.01022007,0.001881746,0.0001038382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7408593,0.00001193133,0.2576612,0.0001363713,0.00005638017,0.0003379619,0.0000024967,0.0000117581,0.0009226506],"genre_scores_gemma":[0.9765894,0.000006214261,0.02285346,0.00006026691,0.000006270304,0.00005784163,0.00004517247,0.000005886905,0.0003754804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2357301,"threshold_uncertainty_score":0.3870017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04191784139939159,"score_gpt":0.2721248141555057,"score_spread":0.2302069727561141,"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."}}