{"id":"W3118506728","doi":"10.1175/jtech-d-20-0107.1","title":"Changes in TOA SW Fluxes over Marine Clouds When Estimated via Semiphysical Angular Distribution Models","year":2021,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Freie Universität Berlin; Langley Research Center; National Aeronautics and Space Administration","keywords":"Zenith; Environmental science; Atmosphere (unit); Cloud fraction; Flux (metallurgy); Atmospheric sciences; Shortwave; Effective radius; Liquid water content; Satellite; Radiative flux; Defense Meteorological Satellite Program; Northern Hemisphere; Cloud cover; Radiative transfer; Cloud top; Meteorology; Remote sensing; Cloud computing; Physics; Geology; Astrophysics; Optics; Astronomy","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":[0.0001531294,0.0001892325,0.0003936868,0.000001246622,0.00007078129,0.00002037682,0.0002184801,0.0002389836,0.0009105777],"category_scores_gemma":[0.00004320153,0.0001609661,0.00006709259,0.0005598059,0.0002454245,0.0001837494,0.0003863035,0.0003699673,0.000007767015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000189902,"about_ca_system_score_gemma":0.00003120332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006021712,"about_ca_topic_score_gemma":0.00008044414,"domain_scores_codex":[0.9987592,0.0000368515,0.0003676985,0.0002613935,0.000242413,0.0003324183],"domain_scores_gemma":[0.9993957,0.00002816354,0.0002389539,0.0002065223,0.00003285287,0.00009776119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001974675,0.0008434155,0.6543856,0.00004424456,0.0001476947,0.001234494,0.0004849473,0.005343691,0.03353637,0.003471512,0.004893185,0.2954174],"study_design_scores_gemma":[0.003687413,0.001427124,0.6414344,0.0001910238,0.0002134868,0.001815045,0.001320454,0.2114139,0.008806001,0.1177833,0.01089676,0.001011088],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758506,0.0006900415,0.02167967,0.001313639,0.0001234973,0.00006816562,0.000002907172,0.0000387483,0.0002326924],"genre_scores_gemma":[0.9827365,0.0005345917,0.01626526,0.0001698964,0.00005760054,0.000002425822,0.000004761467,0.00001720417,0.0002117267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2944063,"threshold_uncertainty_score":0.9970187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006097770400765306,"score_gpt":0.210857028165137,"score_spread":0.2047592577643716,"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."}}