{"id":"W3177037714","doi":"10.18280/ejee.230302","title":"Battery Charger Utilizing Coupled Inductor Based High Gain Bidirectional DC-DC Converter: Analysis, Design, and Implementation","year":2021,"lang":"en","type":"article","venue":"European Journal of Electrical Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inductor; Boost converter; Capacitor; Battery charger; Buck converter; Battery (electricity); Buck–boost converter; Voltage; Electrical engineering; Ćuk converter; High voltage; Forward converter; Electronic engineering; Computer science; Microcontroller; Engineering; Power (physics); Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005885258,0.0001940615,0.0003298589,0.0006800242,0.0000504925,0.00007023869,0.000172154,0.00004147265,0.0001621071],"category_scores_gemma":[0.000208079,0.000194002,0.0001107616,0.001224992,0.00001909906,0.000203242,0.00004151016,0.0005833533,0.000006244128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002164244,"about_ca_system_score_gemma":0.00006114144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.079733e-7,"about_ca_topic_score_gemma":3.322651e-7,"domain_scores_codex":[0.9984784,0.0001344398,0.0004978052,0.000184807,0.0003256091,0.0003789206],"domain_scores_gemma":[0.9991921,0.0002793766,0.00008506399,0.0001536694,0.000155603,0.000134178],"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":[0.00002783207,0.00003283013,0.0007618733,0.0000468142,0.0007198514,0.0005785119,0.00004759467,0.4502301,0.5257843,0.00004560493,0.000301134,0.02142362],"study_design_scores_gemma":[0.0009356564,0.0001509411,0.01067518,0.0000375635,0.0001363596,0.0001210653,0.0000347651,0.8384498,0.1483789,0.00001121702,0.000772515,0.0002960926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2431604,0.0007339516,0.7555908,0.0001379191,0.0001532771,0.00006594061,0.00000282754,0.0001389898,0.00001590769],"genre_scores_gemma":[0.9794332,0.0001525894,0.02015575,0.00005229012,0.0001255681,0.000002985546,0.00001072001,0.00005611854,0.00001076525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7362728,"threshold_uncertainty_score":0.7911171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01903541274950124,"score_gpt":0.2535753739121648,"score_spread":0.2345399611626635,"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."}}