{"id":"W4411027934","doi":"10.3390/en18112960","title":"Leveraging AI for Sustainable Energy Development in Solar Power Plants Operating Under Shading Conditions","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Université du Québec en Outaouais","funders":"","keywords":"Shading; Sustainable energy; Solar energy; Solar power; Sustainable development; Power (physics); Energy (signal processing); Environmental science; Environmental economics; Renewable energy; Photovoltaic system; Architectural engineering; Computer science; Engineering physics; Automotive engineering; Engineering; Electrical engineering; Mathematics; Economics; Physics; Computer graphics (images); Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002960829,0.0001948701,0.0002566214,0.000488996,0.0003735762,0.0001567914,0.0002035481,0.0001156114,0.00007336108],"category_scores_gemma":[0.0001170016,0.0002077815,0.00004722336,0.0003250778,0.00002830043,0.0003532055,0.0001209266,0.00008476127,0.000002202465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004322799,"about_ca_system_score_gemma":0.0002836509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001640219,"about_ca_topic_score_gemma":0.0004117358,"domain_scores_codex":[0.998602,0.00005687435,0.0004429432,0.0003174452,0.000135757,0.0004450132],"domain_scores_gemma":[0.9993421,0.0001698498,0.00007228903,0.0002091207,0.0001691618,0.00003746219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001641752,0.00006082219,0.0006374699,0.00008198169,0.00009175127,0.00001912255,0.001624741,0.5086354,0.01383807,0.4655997,0.00886091,0.0005336125],"study_design_scores_gemma":[0.001028046,0.00002360533,0.0005519397,0.0004110072,0.00001092237,0.000005840317,0.00934515,0.01332865,0.7750605,0.01495175,0.1847677,0.000514851],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4729778,0.0009449177,0.4296292,0.0007988417,0.0006379959,0.0009342355,0.00001422478,0.001512388,0.09255046],"genre_scores_gemma":[0.9787723,0.00001755766,0.006704654,0.001118361,0.00002245841,0.0006502681,0.00009041647,0.00003282343,0.01259111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7612224,"threshold_uncertainty_score":0.8473084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01229953831143254,"score_gpt":0.2687157726060315,"score_spread":0.256416234294599,"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."}}