{"id":"W4405440608","doi":"10.1109/icaige62696.2024.10776746","title":"Investigating Optimal Tracking Intervals for Solar Tracking Systems to Enhance Efficiency and Performance","year":2024,"lang":"en","type":"article","venue":"","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; École de Technologie Supérieure","funders":"","keywords":"Tracking (education); Computer science; Tracking system; Artificial intelligence; Kalman filter","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0007541547,0.0001331235,0.0001436572,0.0001322318,0.0001947409,0.001145938,0.0003625493,0.00004939479,0.000003612741],"category_scores_gemma":[0.0001407742,0.0001199414,0.00004370514,0.0004084488,0.00002223978,0.0008563422,0.00009591976,0.000125106,0.00002081654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003856045,"about_ca_system_score_gemma":0.00006150599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001775538,"about_ca_topic_score_gemma":0.000003203383,"domain_scores_codex":[0.9987968,0.00003050026,0.000282928,0.0004303047,0.000178942,0.0002805685],"domain_scores_gemma":[0.9992973,0.0002393992,0.00004187971,0.0002071995,0.00007772866,0.0001365421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000136463,0.00008678783,0.004547312,0.002681677,0.00009184192,0.00001540583,0.04794807,0.03325122,0.0906659,0.07426322,0.00314675,0.7432882],"study_design_scores_gemma":[0.00005392557,0.0001368209,0.0004480901,0.0002684378,0.000004174014,0.00002159111,0.00009324749,0.9583017,0.03724791,0.00006993704,0.003176825,0.0001773324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3048897,0.0005133075,0.692904,0.0002378301,0.0006175154,0.0002965398,0.00000200067,0.0002440124,0.0002950498],"genre_scores_gemma":[0.9570484,0.00001239122,0.04209433,0.0003933593,0.0001133892,0.00005183772,0.000001078261,0.00001373124,0.0002715466],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9250505,"threshold_uncertainty_score":0.999891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02968858776046572,"score_gpt":0.2981654693359704,"score_spread":0.2684768815755046,"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."}}