{"id":"W3035596020","doi":"","title":"Stochastic Model for Generating Synthetic Hourly Global Horizontal Solar Radiation Data Sets Based on Auto Regression Characterization","year":2020,"lang":"en","type":"article","venue":"International Energy Journal","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Monte Carlo method; Radiation; Stochastic modelling; Probability distribution; Data set; Autocorrelation; Meteorology; Environmental science; Computer science; Mathematics; Statistics; Geography; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002991429,0.000178033,0.0001435938,0.0001009866,0.0002751339,0.000522898,0.001256874,0.00008605335,0.00001985641],"category_scores_gemma":[0.0003732636,0.0001659737,0.00008663409,0.0001687751,0.00001379746,0.000996031,0.0001350397,0.0001703062,0.000006637108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002151727,"about_ca_system_score_gemma":0.0003224116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009737323,"about_ca_topic_score_gemma":0.000005319955,"domain_scores_codex":[0.9982762,0.00008247032,0.000383341,0.0004167671,0.000636448,0.0002048247],"domain_scores_gemma":[0.9987952,0.00008809049,0.0003663252,0.0003089041,0.000221492,0.0002200324],"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":[0.0001769909,0.000128294,0.0001201364,0.000006743378,0.00006881674,0.00001782072,0.0002849551,0.7994673,0.01468331,0.0145148,0.002398807,0.1681321],"study_design_scores_gemma":[0.0007742468,0.0001198076,0.0002392808,0.00004064032,0.00001052469,0.00004534508,0.000004139593,0.995074,0.00051937,0.0005964756,0.002401612,0.0001745342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003344884,0.00002113393,0.9896525,0.005052049,0.001354131,0.00008629717,0.0003307114,0.0000823919,0.00007589965],"genre_scores_gemma":[0.9592414,0.00001381564,0.03492435,0.004149949,0.0007687762,0.0000134106,0.0008384304,0.00001932715,0.0000305465],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9558965,"threshold_uncertainty_score":0.6768211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04210618833291274,"score_gpt":0.2869506609439145,"score_spread":0.2448444726110018,"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."}}