{"id":"W2808858024","doi":"10.3390/atmos9070264","title":"Irradiance Variability Quantification and Small-Scale Averaging in Space and Time: A Short Review","year":2018,"lang":"en","type":"review","venue":"Atmosphere","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Leibniz-Gemeinschaft; Leibniz-Institut für Troposphärenforschung; University of California, San Diego; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; Carl von Ossietzky Universität Oldenburg; University of Victoria","keywords":"Irradiance; Environmental science; Smoothing; Temporal scales; Meteorology; Photovoltaic system; Solar irradiance; Scale (ratio); Volatility (finance); Climatology; Computer science; Econometrics; Geography; Mathematics; Cartography; Geology; Engineering; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001276198,0.0002823654,0.0008500614,0.000009051055,0.00008300853,0.0001504184,0.000448766,0.0001895277,0.00003706394],"category_scores_gemma":[0.0001547984,0.0002592198,0.0000896557,0.0005916722,0.00007080512,0.0002138992,0.0001647896,0.0002801694,0.0000766834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008555126,"about_ca_system_score_gemma":0.000182102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005621362,"about_ca_topic_score_gemma":0.00003345443,"domain_scores_codex":[0.9980237,0.0003731426,0.0004728624,0.0007665996,0.0001373896,0.0002262984],"domain_scores_gemma":[0.9985266,0.0002742157,0.0001793728,0.0008353961,0.00005706041,0.000127372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[5.426365e-7,0.0000240547,0.0004276511,0.01552894,0.00001767136,0.000004441102,0.0001325219,4.280649e-7,3.964307e-7,0.002283209,0.001512691,0.9800674],"study_design_scores_gemma":[0.00005503844,0.00001640319,0.0003915069,0.0134283,0.00006933675,0.0000470641,0.000001433297,0.006064171,4.774989e-7,0.0003504339,0.9792597,0.0003161724],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002077773,0.991731,0.00565439,0.0001322997,0.0001432956,0.0008610174,0.000005482478,0.00006365437,0.001388075],"genre_scores_gemma":[0.00002032446,0.9849322,0.01439235,0.0002123573,0.00004997595,0.00006744158,0.00001561686,0.00001900761,0.0002907121],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9797513,"threshold_uncertainty_score":0.999986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03399874479801895,"score_gpt":0.2915954358096322,"score_spread":0.2575966910116133,"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."}}