{"id":"W4392746483","doi":"10.1109/peeic59336.2023.10451764","title":"Smart Thermal Management and Control of Interleaved Boost Converters in High-Power Photovoltaic Systems","year":2023,"lang":"en","type":"article","venue":"","topic":"Silicon Carbide Semiconductor Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Converters; Photovoltaic system; Power (physics); Electrical engineering; Computer science; Thermal management of electronic devices and systems; Control (management); Power control; Automotive engineering; Engineering; Voltage; Mechanical engineering; Physics","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":[0.0001161103,0.0001267744,0.0002362131,0.0002894258,0.000007541065,0.00001645733,0.0001375686,0.00007821031,0.00004182864],"category_scores_gemma":[0.00001397599,0.000116077,0.00002509418,0.0002240837,0.00006563196,0.00006935582,0.00005337227,0.00009475415,0.00003689107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004370731,"about_ca_system_score_gemma":0.000002058805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001571861,"about_ca_topic_score_gemma":0.00001827186,"domain_scores_codex":[0.9993002,0.00001448102,0.0002387685,0.0001459517,0.00008971764,0.0002108463],"domain_scores_gemma":[0.999644,0.0000751512,0.00002170725,0.0002241114,0.00001188481,0.0000231761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001462432,0.000008270295,0.01828939,0.0002305608,0.0001510566,0.00003970568,0.0002490681,0.001280024,0.9768005,0.0008304502,0.001422095,0.0006842855],"study_design_scores_gemma":[0.006674793,0.0001788258,0.2053757,0.0004880518,0.00005686095,0.00001406467,0.01572892,0.3883135,0.3812092,0.0003037301,0.0007545273,0.0009018054],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964265,0.0003130158,0.00008920931,0.00001872421,0.0004242617,0.0003313315,0.000008018177,0.0008686268,0.001520277],"genre_scores_gemma":[0.9996318,0.00007118788,0.00002216448,0.00002470238,0.000004386713,0.00005343229,0.000001829458,0.00002409716,0.0001663493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5955912,"threshold_uncertainty_score":0.4733483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006852363319253054,"score_gpt":0.1841187424923069,"score_spread":0.1772663791730539,"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."}}