{"id":"W2063930396","doi":"10.1016/j.energy.2010.11.009","title":"Estimation of monthly solar radiation distribution for solar energy system analysis","year":2010,"lang":"en","type":"article","venue":"Energy","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":70,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Photovoltaic system; Environmental science; Solar irradiance; Renewable energy; Meteorology; Solar energy; Radiation; Exergy; Irradiance; Atmospheric sciences; Engineering; Physics; Optics; Electrical engineering; Process engineering","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":[0.0002717613,0.0003606256,0.0004337309,0.001097486,0.0001784005,0.000287636,0.0002944503,0.0003286187,0.002240091],"category_scores_gemma":[0.001088468,0.0002385358,0.0004599206,0.0008992446,0.00005481985,0.0004031713,0.0001570496,0.0002900743,0.0006547906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002755136,"about_ca_system_score_gemma":0.0002954998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006606619,"about_ca_topic_score_gemma":0.009060251,"domain_scores_codex":[0.9998844,0.00003992991,0.000007247164,0.00002585034,0.0000298875,0.00001267801],"domain_scores_gemma":[0.9996833,0.0001553513,0.00002932687,0.0000453595,0.00006981735,0.00001690771],"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":[0.0004903186,0.0002252553,0.1163631,0.0001875957,0.0002349128,0.0001462633,0.00008156069,0.5590451,0.02241289,0.001663127,0.004252266,0.2948976],"study_design_scores_gemma":[0.00001362334,0.00003485031,0.04619948,0.000005027687,0.00002454693,0.00003728467,0.00002654505,0.9489719,0.003115615,0.0007744355,0.0007866648,0.00001005611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5689031,0.0004067661,0.4206082,0.00008952764,0.00002705323,0.00007294514,0.003820607,0.002251937,0.00381979],"genre_scores_gemma":[0.9467537,0.0001036017,0.04979365,0.000006742704,0.00001534971,0.00003863918,0.002134109,0.00009962064,0.001054594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006606619,"threshold_uncertainty_score":0.01313633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00538500052387416,"score_gpt":0.214036569552623,"score_spread":0.2086515690287489,"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."}}