{"id":"W4297988875","doi":"10.3390/electronics11193121","title":"Analytical Solution for Transient Reactive Elements for DC-DC Converter Circuits","year":2022,"lang":"en","type":"article","venue":"Electronics","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Prince Sultan University; Princess Nourah Bint Abdulrahman University","keywords":"Inductor; Control theory (sociology); Buck converter; Laplace transform; Transient (computer programming); Boost converter; Ćuk converter; Buck–boost converter; Transient response; Equivalent circuit; Capacitor; Forward converter; Mathematics; Electronic circuit; Voltage; Flyback converter; Electronic engineering; Computer science; Engineering; Electrical engineering; Mathematical analysis","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":[0.0001651913,0.0001639323,0.0001920599,0.00007801367,0.0001615272,0.00001192142,0.0001489363,0.00004564235,0.00006464273],"category_scores_gemma":[0.00001941313,0.0002010002,0.0001335363,0.0001395515,0.00001627533,0.0001128252,0.00001874568,0.0002305837,0.000005431923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009940409,"about_ca_system_score_gemma":0.00007369433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.493995e-7,"about_ca_topic_score_gemma":0.00001413252,"domain_scores_codex":[0.9986647,0.00001643032,0.0002377976,0.0002589597,0.00018653,0.0006355587],"domain_scores_gemma":[0.9995859,0.00008504667,0.00003606686,0.0001806773,0.00004552611,0.00006678244],"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":[0.0002723682,0.0001883935,0.00007429993,0.0001630365,0.0006223241,0.00000399759,0.00105362,0.004564674,0.0497274,0.009358838,0.01318627,0.9207848],"study_design_scores_gemma":[0.001242436,0.0003579016,0.00003053783,0.00000296983,0.00006713635,0.000005483353,0.00006035276,0.7652982,0.002173746,0.001092007,0.2294471,0.0002220681],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009903422,0.0006855367,0.9873563,0.0002315794,0.0004295521,0.0009370422,0.000104092,0.0001805707,0.0001718719],"genre_scores_gemma":[0.9974903,0.00004471304,0.0008708835,0.0002117223,0.00007611202,0.0007770207,0.0001685615,0.00007082245,0.0002898644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9875869,"threshold_uncertainty_score":0.8196549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01344859606033795,"score_gpt":0.2451058669895164,"score_spread":0.2316572709291784,"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."}}