{"id":"W2086836345","doi":"10.1175/jcli-d-12-00112.1","title":"Longwave Band-By-Band Cloud Radiative Effect and Its Application in GCM Evaluation","year":2012,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"National Oceanic and Atmospheric Administration; Goddard Space Flight Center; Langley Research Center; University of Michigan; National Aeronautics and Space Administration; National Science Foundation","keywords":"Longwave; Outgoing longwave radiation; Environmental science; GCM transcription factors; Climatology; Cirrus; Radiative transfer; Atmospheric sciences; Climate model; Amplitude; Atmospheric Infrared Sounder; Meteorology; Physics; Climate change; Geology; Troposphere; General Circulation Model; Convection; Optics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002109763,0.0006775496,0.0005348024,0.00190258,0.0004299321,0.001047537,0.0008127654,0.0007786876,0.001492059],"category_scores_gemma":[0.005536283,0.0002204291,0.000592488,0.002104501,0.000257232,0.000639277,0.0004997146,0.0003497755,0.0001876247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00178552,"about_ca_system_score_gemma":0.0008205773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09449296,"about_ca_topic_score_gemma":0.06170834,"domain_scores_codex":[0.9992884,0.0003573947,0.00005002818,0.00009976523,0.0001440301,0.00006048603],"domain_scores_gemma":[0.9978369,0.001152929,0.000113829,0.000217373,0.0005917478,0.00008726116],"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":[0.0004487866,0.0001309719,0.1136161,0.0001038719,0.0003637229,0.0001760551,0.00006605882,0.851974,0.00292446,0.001051574,0.0009732509,0.02817107],"study_design_scores_gemma":[0.00006099186,0.00005529142,0.04817894,0.00001823118,0.00005957188,0.00001845534,0.00007755942,0.9460084,0.004068611,0.0002917297,0.001133278,0.00002886125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780971,0.000525817,0.01191259,0.0001450073,0.00004718612,0.0001576077,0.002908792,0.001052443,0.005153376],"genre_scores_gemma":[0.99098,0.00005725721,0.007609915,0.00002430201,0.00001092595,0.00003646362,0.0009226993,0.00008414428,0.0002744716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09449296,"threshold_uncertainty_score":0.1878859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007303169858864641,"score_gpt":0.2648519721377529,"score_spread":0.2575488022788882,"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."}}