{"id":"W4400005911","doi":"10.1007/978-3-031-62881-8_20","title":"Optimizing Solar Energy Harvesting: A Comprehensive Study on Photovoltaic Tracking Systems and Their Impact on Renewable Energy Efficiency","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Renewable energy; Photovoltaic system; Solar energy; Tracking (education); Environmental science; Automotive engineering; Engineering; 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":[0.0002640953,0.000655171,0.0008131709,0.0002636772,0.0001818674,0.001312683,0.0005192866,0.0006243373,0.003587543],"category_scores_gemma":[0.0004781174,0.0003929542,0.0006082579,0.001376645,0.0002422702,0.001019636,0.0002959918,0.0006826616,0.0007498683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004553621,"about_ca_system_score_gemma":0.0003063561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009537507,"about_ca_topic_score_gemma":0.002063702,"domain_scores_codex":[0.9998354,0.00003572492,0.000006015355,0.00003759938,0.00007256363,0.00001275948],"domain_scores_gemma":[0.9998909,0.00006297253,0.000008113892,0.00001126562,0.00002396726,0.000002781238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00006077561,0.00015492,0.000634954,0.0007604069,0.0001488946,0.0000822421,0.00004501766,0.5073569,0.01476898,0.05751863,0.009225614,0.4092427],"study_design_scores_gemma":[0.00001094738,0.0002089624,0.004059198,0.0002714279,0.0001500603,0.0002880498,0.00008409438,0.8619133,0.01382717,0.06683176,0.0523124,0.00004265152],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06056713,0.1539962,0.5788875,0.001353598,0.0005556876,0.00009357718,0.0003582254,0.0004515452,0.2037365],"genre_scores_gemma":[0.6893997,0.1194009,0.07651844,0.0004540419,0.0006328081,0.00008621259,0.0003778356,0.0004193362,0.1127106],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003587543,"threshold_uncertainty_score":0.01200151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02470343181850664,"score_gpt":0.2513834492547782,"score_spread":0.2266800174362716,"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."}}