{"id":"W2120899140","doi":"10.1175/1520-0442(2002)015<2321:hchias>2.0.co;2","title":"High-Cloud Horizontal Inhomogeneity and Solar Albedo Bias","year":2002,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Pacific Northwest National Laboratory; University of Utah; Battelle; National Aeronautics and Space Administration; U.S. Department of Energy; National Science Foundation","keywords":"Cloud albedo; Albedo (alchemy); Solar zenith angle; Environmental science; Radiative transfer; Standard deviation; Zenith; Lidar; Remote sensing; Atmospheric sciences; Cloud cover; Atmospheric radiative transfer codes; Geology; Cloud computing; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006068908,0.0002070114,0.0002672766,0.0006769923,0.0002968713,0.0004854923,0.000235645,0.0002164103,0.0009907552],"category_scores_gemma":[0.001429415,0.0001594754,0.0002876922,0.001189132,0.0002208629,0.0004860313,0.0003086993,0.0001610162,0.0001956654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005717311,"about_ca_system_score_gemma":0.0002233235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01098637,"about_ca_topic_score_gemma":0.016077,"domain_scores_codex":[0.9996872,0.00005117543,0.00002498035,0.00008058414,0.00008127072,0.00007472515],"domain_scores_gemma":[0.9989484,0.000420827,0.0001936718,0.0001802923,0.0002120216,0.00004491496],"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":[0.0003975888,0.0001137324,0.8655527,0.0000916187,0.0002297956,0.0005951738,0.0001275805,0.05859038,0.0456248,0.000982182,0.0008111419,0.02688336],"study_design_scores_gemma":[0.00003439264,0.00004570707,0.8898799,0.000009147212,0.00006919039,0.0002651522,0.00008970029,0.08608921,0.02215217,0.000433079,0.0009097017,0.00002257065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936161,0.00009344703,0.003669521,0.00004500225,0.000008079669,0.00001513378,0.0008668919,0.0001098011,0.001576013],"genre_scores_gemma":[0.9987056,0.00002258942,0.0006076035,0.000007712654,0.000003895135,0.000002820221,0.0004804101,0.00001371569,0.0001555883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01098637,"threshold_uncertainty_score":0.02184486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0144855749281357,"score_gpt":0.2122329155127082,"score_spread":0.1977473405845725,"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."}}