{"id":"W2744340403","doi":"10.3390/su9081382","title":"Simulation Study on the Effect of Reduced Inputs of Artificial Neural Networks on the Predictive Performance of the Solar Energy System","year":2017,"lang":"en","type":"article","venue":"Sustainability","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"Natural Resources Canada","keywords":"Artificial neural network; Photovoltaic system; Renewable energy; Solar energy; Reliability (semiconductor); Performance prediction; Computer science; Process (computing); Predictive modelling; Electricity generation; Reliability engineering; Power (physics); Engineering; Machine learning; Simulation","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001973147,0.0001157529,0.000196667,0.0000279899,0.0004865607,0.00004690436,0.001084709,0.00005407204,9.856243e-7],"category_scores_gemma":[0.001707423,0.00005451434,0.0001057003,0.0001989852,0.0002113183,0.000133193,0.0002182657,0.0001827429,1.357533e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001501635,"about_ca_system_score_gemma":0.00009701539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001568655,"about_ca_topic_score_gemma":0.00001201295,"domain_scores_codex":[0.9978501,0.00109265,0.000313566,0.0002144375,0.0003802712,0.0001490437],"domain_scores_gemma":[0.995939,0.001432127,0.0005063612,0.001684078,0.0004165546,0.00002189076],"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":[0.0006771138,0.0002907479,0.2171465,0.0001541979,0.00005878779,7.235142e-7,0.004368975,0.7591043,0.0001838328,0.01116081,0.00001867272,0.00683529],"study_design_scores_gemma":[0.0001287394,0.0009036462,0.281435,0.00001621402,0.00001062006,1.055003e-7,0.0002233089,0.7057304,0.01135335,0.0001600664,0.000003503408,0.00003492903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946467,0.000004012911,0.003489159,0.0003872502,0.000333108,0.001044532,0.000002644404,0.0000173574,0.00007525798],"genre_scores_gemma":[0.9998772,1.844056e-7,0.000001586794,0.00002516966,0.00004665966,0.00003672949,2.98812e-7,0.000004584045,0.000007614144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06428851,"threshold_uncertainty_score":0.3742281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01260993981634446,"score_gpt":0.2606945331332003,"score_spread":0.2480845933168558,"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."}}