{"id":"W2316291906","doi":"10.5194/acp-16-6365-2016","title":"Local short-term variability in solar irradiance","year":2016,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Leibniz-Institut für Troposphärenforschung; Natural Sciences and Engineering Research Council of Canada; European Commission; Leibniz-Gemeinschaft; Niedersächsische Ministerium für Wissenschaft und Kultur","keywords":"Sky; Irradiance; Pyranometer; Overcast; Environmental science; Smoothing; Term (time); Solar irradiance; Meteorology; Spatial analysis; Atmospheric sciences; Statistics; Remote sensing; Mathematics; Physics; Geography; Optics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002339771,0.0001088344,0.000173662,0.0002838127,0.0001348345,0.0003192088,0.0001324615,0.0001366545,0.0009484432],"category_scores_gemma":[0.0009976242,0.00006047012,0.000131368,0.0004449734,0.0001982212,0.0003573997,0.0002173017,0.0002278855,0.0001556717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001916017,"about_ca_system_score_gemma":0.0001034862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002259931,"about_ca_topic_score_gemma":0.002621435,"domain_scores_codex":[0.999911,0.00001147606,0.000005210313,0.0000386791,0.00001875876,0.00001490507],"domain_scores_gemma":[0.9995561,0.0001829119,0.00008713519,0.00007402094,0.00006657361,0.00003320416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00054929,0.0002211714,0.7579243,0.0001384446,0.0002537451,0.0003206975,0.000222745,0.1161077,0.07688466,0.001798071,0.001482445,0.04409684],"study_design_scores_gemma":[0.000008103214,0.0000963258,0.8910194,0.000005620153,0.00002567472,0.0001133607,0.00007322079,0.1013503,0.006267065,0.0005731722,0.0004521819,0.00001564601],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950236,0.00005183617,0.003783172,0.00001791655,0.000003654171,0.00000477298,0.0003626586,0.00004550773,0.0007068208],"genre_scores_gemma":[0.9995381,0.00001195546,0.0001617986,0.000002904071,0.000002579203,0.000001645589,0.000201013,0.000003018821,0.00007694687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002259931,"threshold_uncertainty_score":0.004493535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007897928385069074,"score_gpt":0.2155515948623353,"score_spread":0.2076536664772662,"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."}}