{"id":"W3126845821","doi":"10.1016/j.renene.2021.02.025","title":"Ground-based validation of aerosol optical depth from CAMS reanalysis project: An uncertainty input on direct normal irradiance under cloud-free conditions","year":2021,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact","funders":"Hellenic Foundation for Research and Innovation; General Secretariat for Research and Technology","keywords":"AERONET; Environmental science; Aerosol; Irradiance; Atmospheric sciences; Calibration; Radiative transfer; Meteorology; Solar irradiance; Atmospheric radiative transfer codes; Remote sensing; Mathematics; Statistics; Geography; Geology","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":[0.001431446,0.0007456956,0.0004988936,0.000743963,0.0005483912,0.0006758657,0.001136119,0.001016991,0.001094627],"category_scores_gemma":[0.0020975,0.0003056886,0.0007498008,0.0009850529,0.0004504223,0.0009596975,0.0005735529,0.0005626072,0.0005390777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000809732,"about_ca_system_score_gemma":0.001039459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04305132,"about_ca_topic_score_gemma":0.04417822,"domain_scores_codex":[0.9992224,0.0001330099,0.00004209401,0.0002334528,0.000281679,0.00008739257],"domain_scores_gemma":[0.9984437,0.0003626033,0.0001393638,0.0003576295,0.0006226296,0.0000740906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001569026,0.001131478,0.2467007,0.0006449593,0.0009096494,0.0004240639,0.0004692143,0.5570977,0.08677789,0.001438324,0.01154783,0.09128916],"study_design_scores_gemma":[0.0004487368,0.0001932274,0.3310204,0.00008969908,0.0002136762,0.00008971414,0.0001472669,0.6277499,0.0353969,0.0005910555,0.003966899,0.00009261769],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775778,0.0001643617,0.006914415,0.00009858059,0.00006184279,0.00005792453,0.01001165,0.001176243,0.003937084],"genre_scores_gemma":[0.9875409,0.00003744573,0.004933794,0.00003505949,0.00001110656,0.00003857011,0.007076442,0.00009251411,0.0002343232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04305132,"threshold_uncertainty_score":0.08560151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01492536303097499,"score_gpt":0.2399314269449414,"score_spread":0.2250060639139664,"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."}}