{"id":"W4316661041","doi":"10.1109/tcsii.2023.3237078","title":"Primary Multi-Frequency Constant-Current Compensation for One-to-Multiple Wireless Power Transfer","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits & Systems II Express Briefs","topic":"Wireless Power Transfer Systems","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Innovation and Technology Commission; Edmonton Community Foundation","keywords":"Wireless power transfer; Compensation (psychology); Constant current; Transmitter; Computer science; Constant (computer programming); Current (fluid); Maximum power transfer theorem; Power (physics); Electronic engineering; Wireless; Voltage; Electromagnetic coil; Electrical engineering; Engineering; Telecommunications; Channel (broadcasting); Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000181149,0.0005088666,0.0003364256,0.0003264931,0.0003254699,0.0003581386,0.0007104716,0.000553991,0.002548974],"category_scores_gemma":[0.0003191771,0.0001486433,0.0002035391,0.0004367595,0.0002946856,0.0009781115,0.0003325681,0.0004786455,0.0007245951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004233009,"about_ca_system_score_gemma":0.0002573949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003567913,"about_ca_topic_score_gemma":0.0008398044,"domain_scores_codex":[0.9997483,0.00003815379,0.00001294051,0.00007797757,0.0000982787,0.000024205],"domain_scores_gemma":[0.9998435,0.00003114663,0.00003302165,0.00001759526,0.00006524882,0.000009516321],"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":[0.0002785268,0.00005712926,0.0005638348,0.0007403425,0.00002743752,0.0004178174,0.0002133154,0.01694993,0.4956174,0.01804349,0.006859985,0.4602308],"study_design_scores_gemma":[0.00004505432,0.0007114237,0.001275081,0.0001623923,0.00009258097,0.002292199,0.00008273885,0.314179,0.5744407,0.006738391,0.09989753,0.00008279727],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02727943,0.002545031,0.9562725,0.0002882217,0.0003852095,0.00009762637,0.00006226209,0.0007234466,0.01234637],"genre_scores_gemma":[0.838838,0.00195393,0.1477466,0.000358356,0.0002966714,0.000124438,0.0001298757,0.00007137425,0.01048061],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002548974,"threshold_uncertainty_score":0.00852716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03915112511406505,"score_gpt":0.2444820108970753,"score_spread":0.2053308857830103,"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."}}