{"id":"W3037536298","doi":"10.1109/apec39645.2020.9124468","title":"Robust Digital Algorithm for Rapid Phase Angle Tracking in Wireless Power Transfer","year":2020,"lang":"en","type":"article","venue":"","topic":"Wireless Power Transfer Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Wireless power transfer; Computer science; Tracking (education); Wireless; Phase (matter); Power (physics); Algorithm; Electronic engineering; Noise (video); Control theory (sociology); Engineering; Control (management); Telecommunications; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008297175,0.0002673489,0.0003704643,0.00008825634,0.00002751304,0.000129697,0.0002105289,0.0001263978,0.0001648085],"category_scores_gemma":[0.000005636754,0.0002728698,0.0001488055,0.0002938882,0.00002314639,0.0005286837,0.000006724217,0.0001844987,0.00003187547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004891205,"about_ca_system_score_gemma":0.00001767907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006856791,"about_ca_topic_score_gemma":0.00001452395,"domain_scores_codex":[0.9986283,0.00001177755,0.000425733,0.0003141931,0.0001780341,0.0004420257],"domain_scores_gemma":[0.9995589,0.00006292397,0.000006151173,0.0001555041,0.00003463191,0.0001818992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001329934,0.0005598902,0.0003259216,0.0007624372,0.000287565,0.0001238481,0.01032925,0.01362477,0.03627274,0.001028252,0.003248287,0.9333041],"study_design_scores_gemma":[0.009626,0.0004779736,0.0001007304,0.0001248083,0.00002818415,0.00001361917,0.001174151,0.9085802,0.06355514,0.00001536625,0.01522933,0.001074443],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1393337,0.0001528998,0.8553218,0.0001831528,0.0003561561,0.0005853685,0.00019657,0.0005866039,0.003283813],"genre_scores_gemma":[0.9984243,0.00001034605,0.001044269,0.0001010866,0.0001484707,0.00008019427,0.00004844534,0.0001089482,0.00003397737],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9322296,"threshold_uncertainty_score":0.9999723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02914531916239451,"score_gpt":0.2303352361780877,"score_spread":0.2011899170156932,"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."}}