{"id":"W4404628652","doi":"10.1109/ciot63799.2024.10757103","title":"Selective Excitation Technique for Wireless Power Transfer in Wearable Devices Using CMA","year":2024,"lang":"en","type":"article","venue":"","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais; Institut National de la Recherche Scientifique","funders":"","keywords":"Wearable computer; Wireless power transfer; Wireless; Computer science; Power (physics); Maximum power transfer theorem; Wearable technology; Excitation; Electrical engineering; Telecommunications; Engineering; Embedded system; Physics","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":[0.000153163,0.000407061,0.0001938191,0.0002090052,0.0001634808,0.000213202,0.0003465814,0.0003636572,0.001236212],"category_scores_gemma":[0.0003478838,0.0001539221,0.0001968304,0.0001981993,0.0003190718,0.000571447,0.000360855,0.0003458465,0.0005289105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001652431,"about_ca_system_score_gemma":0.00009651854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005612644,"about_ca_topic_score_gemma":0.0001658174,"domain_scores_codex":[0.9998757,0.00002299119,0.000005415342,0.00004426819,0.00003864662,0.00001309683],"domain_scores_gemma":[0.9997954,0.00008777464,0.00004936363,0.00002567701,0.00003178693,0.00000996522],"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":[0.00004175385,0.00001060003,0.0001018103,0.00008746165,0.000005536456,0.00005976294,0.00005396095,0.0004465832,0.9768123,0.001704729,0.0002095302,0.02046584],"study_design_scores_gemma":[0.00001198406,0.0002681168,0.0006362902,0.00002264276,0.00001551733,0.0004717126,0.00005126252,0.01912564,0.9705531,0.0008475605,0.007977528,0.00001863849],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3110013,0.002633712,0.6744848,0.0004689287,0.000205407,0.000101467,0.00008095553,0.0005948269,0.01042849],"genre_scores_gemma":[0.8883752,0.0008653743,0.1066233,0.0002092851,0.00007539964,0.00009869887,0.00003377939,0.00006740043,0.003651639],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001236212,"threshold_uncertainty_score":0.004135489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01354696870758815,"score_gpt":0.2465415356565525,"score_spread":0.2329945669489644,"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."}}