{"id":"W2560439474","doi":"10.1109/epec.2016.7771795","title":"Tilt angle optimization for maximum solar power generation of a solar power plant with mirrors","year":2016,"lang":"en","type":"article","venue":"","topic":"solar cell performance optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Renewable energy; Solar energy; Photovoltaic system; Electricity generation; Solar power; Radiation; Tilt (camera); Solar mirror; Environmental science; Grid parity; Optics; Power (physics); Photovoltaic thermal hybrid solar collector; Electrical engineering; Computer science; Engineering; Distributed generation; Physics; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001862226,0.0004258243,0.0003960346,0.0002005658,0.0002240108,0.0006306971,0.0002475131,0.0003300618,0.001750299],"category_scores_gemma":[0.0003906549,0.0002376385,0.0003273723,0.0002832002,0.0001349089,0.0002401759,0.000216769,0.0002345101,0.0002204039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005003139,"about_ca_system_score_gemma":0.0004490202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003128859,"about_ca_topic_score_gemma":0.003742582,"domain_scores_codex":[0.9999057,0.00001787458,0.00000309811,0.0000141771,0.00003018539,0.00002899483],"domain_scores_gemma":[0.9999436,0.00002050648,0.00001067307,0.00000387488,0.00001593853,0.000005250999],"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":[0.0001878161,0.00005431988,0.001988183,0.0001029664,0.00002095229,0.00009727234,0.00004540024,0.9308174,0.04558834,0.001476384,0.0004231609,0.01919785],"study_design_scores_gemma":[0.00003226473,0.0004008419,0.003953734,0.00001505858,0.00003864747,0.00004553434,0.00008230253,0.9692765,0.02408762,0.001001501,0.001051425,0.00001451499],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8045712,0.0006848487,0.1659149,0.0002038408,0.00003423509,0.00009869032,0.0001799383,0.0001824426,0.02812992],"genre_scores_gemma":[0.9935995,0.0000937672,0.005197278,0.000008862815,0.000002315282,0.00001910833,0.00002773858,0.00001188368,0.001039543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003128859,"threshold_uncertainty_score":0.006221294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01627684058438607,"score_gpt":0.1999662862028641,"score_spread":0.1836894456184781,"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."}}