{"id":"W4248694723","doi":"10.5194/amt-2017-309","title":"Effects of temporal averaging on short-term irradiance variability under mixed sky conditions","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Seventh Framework Programme; Natural Sciences and Engineering Research Council of Canada; Carl von Ossietzky Universität Oldenburg; Natural Resources Canada; Deutsche Forschungsgemeinschaft; Niedersächsische Ministerium für Wissenschaft und Kultur","keywords":"Irradiance; Environmental science; Solar irradiance; Temporal resolution; Sky; Meteorology; Term (time); Northern Hemisphere; Atmospheric sciences; Mathematics; Climatology; Remote sensing; Geography; Physics; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005286114,0.0002871933,0.0004165201,0.0001456259,0.0002243289,0.0002893642,0.001533609,0.0002774303,0.00004505856],"category_scores_gemma":[0.0001963414,0.0002821028,0.0002081452,0.00009308841,0.0001137756,0.0002274294,0.0006257221,0.0005657698,0.00003512318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001354057,"about_ca_system_score_gemma":0.0003405411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001891202,"about_ca_topic_score_gemma":0.00003133635,"domain_scores_codex":[0.9980392,0.0002316057,0.0003697059,0.0007364574,0.0003609428,0.0002620787],"domain_scores_gemma":[0.9968807,0.0005866584,0.0002855876,0.001947235,0.0001318134,0.000168059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004927581,0.002069297,0.1480642,0.003180849,0.00076263,0.0001431836,0.003121844,0.01085507,0.01022819,0.7996863,0.01021826,0.01162091],"study_design_scores_gemma":[0.0006545951,0.00008295917,0.7696787,0.0004160503,0.0000505736,0.000008119106,0.000006959743,0.09037772,0.02697755,0.1101313,0.0007687013,0.0008467633],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2691107,0.00006837262,0.7047331,0.0006620521,0.00531917,0.00132224,0.00007165567,0.0004055917,0.01830712],"genre_scores_gemma":[0.9920135,0.00001319624,0.007003573,0.0003808923,0.00009608958,0.00006537055,0.00005139844,0.00001498948,0.0003610261],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7229028,"threshold_uncertainty_score":0.9999631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02610344344790463,"score_gpt":0.2921756693007462,"score_spread":0.2660722258528416,"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."}}