{"id":"W1905460191","doi":"10.1002/cta.2024","title":"Design and optimization of a 3‐coil resonance‐based wireless power transfer system for biomedical implants","year":2014,"lang":"en","type":"article","venue":"International Journal of Circuit Theory and Applications","topic":"Wireless Power Transfer Systems","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; Kelowna General Hospital; University of British Columbia","funders":"","keywords":"Electromagnetic coil; Wireless power transfer; Inductance; Coil tap; Maximum power transfer theorem; Resonant inductive coupling; Resonance (particle physics); Q factor; Inductor; Electrical engineering; Power (physics); RADIUS; Capacitor; Wireless; Coil noise; Electronic engineering; Materials science; Engineering; Computer science; Physics; Telecommunications; Energy transfer; Rogowski coil; Resonator","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002781649,0.0004042236,0.0003540925,0.0002973744,0.0002870429,0.0003623857,0.0004945954,0.0004982636,0.00178394],"category_scores_gemma":[0.000306796,0.0002294686,0.0003516323,0.0001612309,0.0002787946,0.0004644972,0.0003208163,0.0002179036,0.0007717737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004277918,"about_ca_system_score_gemma":0.000397849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003425249,"about_ca_topic_score_gemma":0.0003379462,"domain_scores_codex":[0.9998481,0.00002764809,0.000009364023,0.00004202904,0.00004787839,0.0000248176],"domain_scores_gemma":[0.9998267,0.00003346975,0.00005211154,0.00001584839,0.00005363494,0.0000182313],"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":[0.0002072868,0.00006624419,0.0006802069,0.0002354869,0.00003697598,0.0001844064,0.0001402951,0.04375163,0.9100782,0.002026492,0.0008476795,0.04174513],"study_design_scores_gemma":[0.0001232001,0.001910535,0.004767893,0.00004377341,0.00013849,0.0007767933,0.0001156453,0.4870994,0.4826466,0.001934342,0.02034168,0.0001016957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2375081,0.0004899337,0.7530688,0.000299824,0.00009327257,0.0002386799,0.00009207609,0.001010863,0.007198517],"genre_scores_gemma":[0.8823839,0.0001667653,0.1146254,0.00007207323,0.00002566057,0.0001752919,0.00006069215,0.00006137783,0.002428756],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00178394,"threshold_uncertainty_score":0.005967855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0108882053072725,"score_gpt":0.2293010414826683,"score_spread":0.2184128361753958,"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."}}