{"id":"W2581151602","doi":"10.1109/meditec.2016.7835384","title":"Range adaptation of Wireless Power Transfer systems for biomedical applications","year":2016,"lang":"en","type":"article","venue":"","topic":"Wireless Power Transfer Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bangladesh University of Engineering and Technology; Grand Challenges Canada; United International University; University of Saskatchewan","keywords":"Wireless power transfer; Constant (computer programming); Wireless; Maximum power transfer theorem; Separation (statistics); Computer science; Power (physics); Range (aeronautics); Coupling (piping); Electronic engineering; Electrical engineering; Engineering; Telecommunications; Physics; Mechanical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001482571,0.0001281281,0.0002348942,0.0001043815,0.00002170417,0.000009345249,0.0001470101,0.0001175256,0.00003929789],"category_scores_gemma":[0.000002822221,0.00008887428,0.00008408898,0.0001445799,0.00005238107,0.0001017721,0.000002578889,0.00003263835,0.00002910791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003935861,"about_ca_system_score_gemma":0.0000183355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003471906,"about_ca_topic_score_gemma":0.00001743176,"domain_scores_codex":[0.9990462,0.00001595811,0.0003919324,0.0001532633,0.0001920027,0.0002006103],"domain_scores_gemma":[0.9994553,0.0001422078,0.00001046317,0.0002246529,0.00008285102,0.00008447924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001716554,0.0005139873,0.001126034,0.005471802,0.0009033286,0.000002729268,0.004588291,0.003806049,0.528882,0.339292,0.009278101,0.105964],"study_design_scores_gemma":[0.01699678,0.0008422808,0.001660458,0.001717802,0.0003273714,0.00004217281,0.003749753,0.2032514,0.07907287,0.0004197417,0.6893293,0.002590096],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03044621,0.000322117,0.9660141,0.00008479886,0.0004416541,0.0009680663,0.0001662781,0.0002977388,0.001259066],"genre_scores_gemma":[0.9984946,0.00005001638,0.0002558156,0.000003954607,0.00008406182,0.0008567995,0.00001156105,0.00004508421,0.000198154],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9680483,"threshold_uncertainty_score":0.3624188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01366195970951996,"score_gpt":0.213346293149098,"score_spread":0.199684333439578,"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."}}