{"id":"W2034213579","doi":"10.1063/1.4916232","title":"Metamaterial electromagnetic energy harvester with near unity efficiency","year":2015,"lang":"en","type":"article","venue":"Applied Physics Letters","topic":"Metamaterials and Metasurfaces Applications","field":"Materials Science","cited_by":253,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Metamaterial; Metamaterial absorber; Resistive touchscreen; Energy harvesting; Materials science; Resistor; Absorption (acoustics); Optoelectronics; Electrical impedance; Electromagnetic radiation; Energy conversion efficiency; Power (physics); Electrical engineering; Optics; Physics; Composite material; Engineering; Tunable metamaterials; Voltage","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":[0.000390204,0.0002951582,0.000375619,0.00002685454,0.0002163858,0.0005091744,0.0004228453,0.00005227606,0.000140706],"category_scores_gemma":[0.000005879176,0.0002318963,0.00004703803,0.0002960838,0.0002585009,0.0002786601,0.00008731092,0.00008135047,0.0003420611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004658851,"about_ca_system_score_gemma":0.0001068063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001989597,"about_ca_topic_score_gemma":0.000008419323,"domain_scores_codex":[0.9981184,0.0001048645,0.000304317,0.0004986961,0.0004548682,0.000518874],"domain_scores_gemma":[0.9988369,0.00003797336,0.0001904042,0.0006374235,0.0000737857,0.0002235068],"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":[0.00007251179,0.00008457797,0.000007710289,0.000009996133,0.00001474433,0.000002089658,0.0001893314,0.0009871547,0.9788496,0.01830047,0.001309575,0.0001722828],"study_design_scores_gemma":[0.0008072446,0.0001104988,0.00007156186,0.000004811366,0.0000868873,0.000005945143,0.00002739054,0.00004498033,0.9822368,0.0006169239,0.01563228,0.0003546527],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796484,0.00002095716,0.01772366,0.0002720051,0.0002893111,0.0002666798,0.00002431605,0.0001474328,0.001607314],"genre_scores_gemma":[0.9868821,0.000002601579,0.01065584,0.001733381,0.000303867,0.0001985913,0.00005599077,0.00005067037,0.0001169485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01768354,"threshold_uncertainty_score":0.9456457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0182854122804796,"score_gpt":0.2151745922032947,"score_spread":0.1968891799228151,"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."}}