{"id":"W2549047506","doi":"10.1109/aps.2016.7696013","title":"Metasurface for near-unity electromagnetic energy harvesting and wireless power transfer","year":2016,"lang":"en","type":"article","venue":"","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Energy harvesting; Maximum power transfer theorem; Wireless power transfer; Power (physics); Maximum power principle; Resonator; Electricity generation; Energy conversion efficiency; Electrical engineering; Energy (signal processing); Wireless; Computer science; Materials science; Electronic engineering; Acoustics; Physics; Engineering; Telecommunications","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":[0.0001922857,0.0002422749,0.0002481927,0.00003976238,0.0001181281,0.00007819936,0.0001472467,0.0001274487,0.00006701971],"category_scores_gemma":[0.00005174582,0.0001827117,0.00005885086,0.0001363279,0.0000952796,0.0002078469,0.0000193394,0.00009537527,0.000003732782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003796087,"about_ca_system_score_gemma":0.00001881404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005867495,"about_ca_topic_score_gemma":0.0001819158,"domain_scores_codex":[0.9988331,0.0000386503,0.0002451221,0.0002666056,0.0001182803,0.0004983089],"domain_scores_gemma":[0.999045,0.0005086226,0.000013714,0.0002323468,0.0000541393,0.0001462195],"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":[0.00004159743,0.00005570374,0.0007734597,0.0001684042,0.0002665368,0.00001100394,0.0001869356,0.02518484,0.739258,0.06474552,0.00257848,0.1667295],"study_design_scores_gemma":[0.005590125,0.001099565,0.008654835,0.0006752574,0.0002754469,0.0001367599,0.00005371669,0.4852121,0.3645643,0.003896378,0.1265324,0.003309076],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6977207,0.0004172306,0.2968741,0.0001024251,0.000170047,0.00009014864,0.000006993239,0.0006112091,0.00400709],"genre_scores_gemma":[0.9866056,0.0001135639,0.01062458,0.00008253758,0.00005692261,0.00005230211,0.000003119832,0.00008954946,0.002371824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4600273,"threshold_uncertainty_score":0.7450768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00755024481800987,"score_gpt":0.1831033969354143,"score_spread":0.1755531521174044,"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."}}