{"id":"W4378876661","doi":"10.2139/ssrn.4464813","title":"Dispatch Strategies-Based Feasibility Analysis of Hybrid Energy Systems Using Sun-Tracking Pv Modules","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Photovoltaic system; Tracking (education); Energy system; Energy (signal processing); Computer science; Tracking system; Renewable energy; Engineering; Electrical engineering; Artificial intelligence; Mathematics; Statistics","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":[0.001965699,0.0008465726,0.0009402148,0.0007234632,0.0004529687,0.001987841,0.0006665549,0.00086652,0.007648251],"category_scores_gemma":[0.004490202,0.000624823,0.0007719455,0.0005316885,0.000667848,0.001098858,0.0008358773,0.0008699541,0.0003635757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007391812,"about_ca_system_score_gemma":0.0008011158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003026156,"about_ca_topic_score_gemma":0.00216766,"domain_scores_codex":[0.9995753,0.0002310713,0.00001527598,0.00003524201,0.0000928685,0.00005024938],"domain_scores_gemma":[0.9978924,0.001642557,0.0001356551,0.0000417009,0.0002280204,0.00005961108],"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":[0.0001849467,0.00003480837,0.0003928517,0.0001016442,0.00002909791,0.0001783961,0.00004316,0.974982,0.001012869,0.01700883,0.0005373755,0.005493994],"study_design_scores_gemma":[0.00001128651,0.00002413704,0.00009673167,0.00000519793,0.000005111686,0.000007044318,0.00001133167,0.9971162,0.0001180924,0.00249688,0.0001055746,0.000002444977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2689854,0.0008585108,0.6765049,0.0009271382,0.0001236184,0.0004675573,0.0004850152,0.000241225,0.05140665],"genre_scores_gemma":[0.9819018,0.0001413793,0.01468134,0.00003047646,0.00002425024,0.0001001026,0.00009373661,0.00004153012,0.002985401],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007648251,"threshold_uncertainty_score":0.02558595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04283178866321932,"score_gpt":0.2962169882780723,"score_spread":0.253385199614853,"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."}}