{"id":"W2555668771","doi":"10.3390/en9110962","title":"Linearization and Control of Series-Series Compensated Inductive Power Transfer System Based on Extended Describing Function Concept","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Wireless Power Transfer Systems","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Control theory (sociology); Linearization; Transfer function; Small-signal model; Robustness (evolution); Maximum power transfer theorem; Series (stratigraphy); Converters; Describing function; Voltage; Inverter; Engineering; Power (physics); Control engineering; Computer science; Electronic engineering; Nonlinear system; Control (management)","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":[0.0001234607,0.0002103324,0.0003280625,0.0001216677,0.00005260183,0.00002473529,0.00006634512,0.0001209557,0.00001626315],"category_scores_gemma":[0.00001270293,0.0001602228,0.00004854758,0.0001375998,0.0001135735,0.0003683257,0.000003844405,0.00007269358,0.00000264554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006921934,"about_ca_system_score_gemma":0.0000196666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002409675,"about_ca_topic_score_gemma":0.00001676777,"domain_scores_codex":[0.9990249,0.0001111634,0.0002897131,0.0001990561,0.0001876609,0.0001875235],"domain_scores_gemma":[0.9995495,0.00008017376,0.00002430909,0.0001904051,0.0001066073,0.00004896986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006429295,0.0000387855,0.0008385096,0.0003307746,0.0002581182,0.000007653794,0.001827445,0.08732276,0.8843141,0.02114227,0.00005966048,0.00321705],"study_design_scores_gemma":[0.005934369,0.001038199,0.008942836,0.00187878,0.0001356561,0.0000165934,0.002405784,0.02303443,0.9547357,0.00002926781,0.001101496,0.0007468658],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5244341,0.0001918503,0.4729715,0.00005608705,0.0009280276,0.0002611471,0.00007605318,0.0004782375,0.0006030269],"genre_scores_gemma":[0.999686,0.00001073063,0.00008945453,0.000009752437,0.00005281694,0.00003507586,0.00001079425,0.00004506046,0.00006029779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4752519,"threshold_uncertainty_score":0.6533697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008319866055536326,"score_gpt":0.1669756124668402,"score_spread":0.1586557464113039,"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."}}