{"id":"W4387614445","doi":"10.12785/ijcds/1401105","title":"Prediction of the Performance of a Sun Tracking Photovoltaic System using different Artificial Intelligence Techniques: Case Study in Zarqa, Jordan","year":2023,"lang":"en","type":"article","venue":"International Journal of Computing and Digital Systems","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Photovoltaic system; Artificial intelligence; Tracking (education); Engineering; Computer science; Electrical 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":[0.0006165542,0.0005673941,0.0004395728,0.0004540888,0.0003580838,0.0006017318,0.0006154302,0.0006556467,0.0003668762],"category_scores_gemma":[0.0008856269,0.0002037108,0.0004834549,0.0007828362,0.0002517181,0.0004355355,0.0002573308,0.0004132162,0.0001227599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009175316,"about_ca_system_score_gemma":0.0004922799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02402919,"about_ca_topic_score_gemma":0.02910065,"domain_scores_codex":[0.9997687,0.00006304871,0.00001847563,0.00004588742,0.00006697549,0.00003695688],"domain_scores_gemma":[0.9993889,0.0002992032,0.00008949821,0.00004008636,0.000157978,0.00002430201],"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":[0.0002240193,0.0006511663,0.1200847,0.0001562728,0.0001376595,0.002235578,0.0003911604,0.8391293,0.006041678,0.0005333735,0.0009564261,0.02945864],"study_design_scores_gemma":[0.00001691301,0.0002547178,0.06539056,0.00001021882,0.00002987774,0.0001042918,0.0004749089,0.92982,0.003306392,0.000211522,0.0003626023,0.00001807335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969266,0.00005380353,0.00222122,0.0000492964,0.000003749448,0.00001850677,0.0001003845,0.00003824294,0.0005881527],"genre_scores_gemma":[0.9978823,0.00005889436,0.00151447,0.000005490362,0.000002431387,0.00001009744,0.000142244,0.000003759469,0.0003802686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02402919,"threshold_uncertainty_score":0.04777867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05710050926036749,"score_gpt":0.2954084480967843,"score_spread":0.2383079388364168,"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."}}