{"id":"W3174208422","doi":"10.1109/wptc51349.2021.9458135","title":"Wireless Torque Transfer using Rotating Magnetic Field with Multiple Coils","year":2021,"lang":"en","type":"article","venue":"","topic":"Wireless Power Transfer Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Future Vehicle Technologies (Canada)","funders":"Defense Acquisition Program Administration; National Research Foundation of Korea","keywords":"Torque; Electromagnetic coil; Magnetic field; Wireless power transfer; Spin-transfer torque; Rotating magnetic field; Physics; Current (fluid); Electrical engineering; Mechanics; Acoustics; Engineering; Magnetization","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":[0.00006226086,0.0002136205,0.0002628896,0.00004523069,0.00005683017,0.00007202681,0.0001116174,0.0001021865,0.0003069244],"category_scores_gemma":[0.000007422942,0.0001990523,0.00005876494,0.0002379379,0.00001904306,0.0001445611,0.000008259179,0.000190378,0.0000171165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003567967,"about_ca_system_score_gemma":0.0000438739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002349875,"about_ca_topic_score_gemma":0.001896915,"domain_scores_codex":[0.9989018,0.00003506222,0.0002696709,0.0002426215,0.0002019058,0.0003489744],"domain_scores_gemma":[0.9994165,0.0001360072,0.000005125721,0.0002741091,0.00006840792,0.00009986307],"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":[0.00006987962,0.0001486728,0.06082413,0.00191396,0.0003550578,0.0006593894,0.005361142,0.1078871,0.776941,0.001961814,0.000365453,0.04351238],"study_design_scores_gemma":[0.001425552,0.0001369619,0.0009632011,0.0003763809,0.00005401081,0.0001020683,0.000986196,0.4598453,0.5348061,0.000007142658,0.0006236114,0.0006734937],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.678698,0.0002547672,0.3162526,0.00003016136,0.00025699,0.0001422361,0.000005301707,0.0003049939,0.004054931],"genre_scores_gemma":[0.9951149,0.00001380503,0.004423046,0.00007689904,0.00008686569,0.00002311791,0.000005169115,0.00007212685,0.0001841347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3519582,"threshold_uncertainty_score":0.8117117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009690915877581,"score_gpt":0.1949640588339091,"score_spread":0.1852731429563281,"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."}}