{"id":"W4403371821","doi":"10.1007/978-981-97-4152-6_36","title":"Comparison of SPV System Performance with DAST System Using MPPT Algorithms","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Maximum power point tracking; 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":[0.000222435,0.0003592798,0.0006894991,0.0003325976,0.00045942,0.0008043177,0.0005444434,0.0004732957,0.005399873],"category_scores_gemma":[0.0003767147,0.0001081108,0.0003429299,0.0006589819,0.0001496859,0.0004560259,0.0001996661,0.0003141204,0.00098023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004681245,"about_ca_system_score_gemma":0.000259768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004161331,"about_ca_topic_score_gemma":0.004041546,"domain_scores_codex":[0.9998114,0.00004345648,0.00001196636,0.00003847652,0.00006444071,0.00003036266],"domain_scores_gemma":[0.9997218,0.00009819835,0.00001581111,0.00003322246,0.0001171683,0.00001375943],"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":[0.005685872,0.0004910001,0.006823736,0.001749583,0.0003356818,0.0003517538,0.0003181772,0.5760967,0.1637816,0.003270752,0.01313514,0.2279601],"study_design_scores_gemma":[0.0002298158,0.002112903,0.02386664,0.00004901416,0.0001903772,0.0002972566,0.0003913453,0.8723584,0.09143037,0.001204481,0.007813578,0.00005586938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9040032,0.0009392254,0.03436132,0.0002761162,0.0001604977,0.00009765547,0.001426031,0.002731303,0.05600473],"genre_scores_gemma":[0.9957719,0.00008073131,0.001470587,0.00001595436,0.000007778674,0.00001293343,0.0003285932,0.00005315717,0.002258221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005399873,"threshold_uncertainty_score":0.01806438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02394355125319762,"score_gpt":0.2581022952646347,"score_spread":0.2341587440114371,"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."}}