{"id":"W1986919830","doi":"10.1016/j.solener.2013.07.007","title":"A three-state model for the probability distribution of instantaneous solar radiation, with applications","year":2013,"lang":"en","type":"article","venue":"Solar Energy","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Sky; Superposition principle; Range (aeronautics); Probability density function; Probability distribution; Cumulative distribution function; Fraction (chemistry); Inverse distribution; Distribution (mathematics); Mathematics; Statistics; Statistical physics; Physics; Meteorology; Mathematical analysis; Heavy-tailed distribution; Materials science","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":[0.001893818,0.001024415,0.001777627,0.001053296,0.00101086,0.003056413,0.004443437,0.003115978,0.01126412],"category_scores_gemma":[0.005140484,0.0007845553,0.001879089,0.002210707,0.001792977,0.003803484,0.001062325,0.00257484,0.002309554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001949666,"about_ca_system_score_gemma":0.001652631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01585877,"about_ca_topic_score_gemma":0.01011928,"domain_scores_codex":[0.999276,0.0001802361,0.00004141944,0.0002312088,0.0001539553,0.0001172184],"domain_scores_gemma":[0.9974826,0.001583947,0.0002469045,0.0002107232,0.0003828729,0.00009300343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001173431,0.00008889313,0.0009922929,0.0001188781,0.00006967309,0.0002791376,0.0002098621,0.800254,0.001294273,0.1853381,0.002300684,0.008936861],"study_design_scores_gemma":[0.00001102848,0.00001016815,0.0001506485,0.000006017148,0.00001579735,0.00003660406,0.00001046831,0.9783041,0.0001092595,0.02074136,0.0005903825,0.0000140548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01473772,0.0004639033,0.9739712,0.0008689524,0.0001354724,0.00006897379,0.00113178,0.0005328461,0.008089081],"genre_scores_gemma":[0.8753666,0.001739836,0.08945291,0.0004268598,0.000289862,0.0006400615,0.00162874,0.0002368377,0.03021832],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01585877,"threshold_uncertainty_score":0.03768224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01256408267704047,"score_gpt":0.2091387873521567,"score_spread":0.1965747046751163,"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."}}