{"id":"W3132117492","doi":"10.1109/ieeeconf35879.2020.9330299","title":"A Dual-polarized Electromagnetic Energy Harvesting Surface","year":2020,"lang":"en","type":"article","venue":"","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Humber Polytechnic","funders":"","keywords":"Energy harvesting; Scalability; Computer science; Energy (signal processing); Dipole; Surface (topology); Dual (grammatical number); Absorption (acoustics); Power (physics); Concentric; Electronic engineering; Acoustics; Physics; Engineering","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":[0.00006832005,0.0002136391,0.0002096309,0.0001483337,0.0002055091,0.0005179111,0.0004351525,0.0005638706,0.001016257],"category_scores_gemma":[0.0001045399,0.0001608833,0.0001734398,0.0002477829,0.00032811,0.000449004,0.0005535824,0.0003292892,0.0007527052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001445944,"about_ca_system_score_gemma":0.0001247449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005355605,"about_ca_topic_score_gemma":0.00005283174,"domain_scores_codex":[0.9999183,0.000009371864,0.00000297841,0.00002024027,0.00003408506,0.000014982],"domain_scores_gemma":[0.9999437,0.000009283165,0.00000902717,0.00001073771,0.00001612324,0.00001109741],"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":[0.00004847048,0.00005186473,0.0003167422,0.00008621313,0.000008432075,0.000161235,0.00003343935,0.002305002,0.9679229,0.008179249,0.001014351,0.01987213],"study_design_scores_gemma":[0.00004037101,0.0005436378,0.001093059,0.00001509598,0.00002301465,0.001002317,0.00007371714,0.08037353,0.8857523,0.002983522,0.02805634,0.00004317041],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.628269,0.001411701,0.3286108,0.001672972,0.000680888,0.00008446602,0.0002106701,0.001046058,0.03801338],"genre_scores_gemma":[0.8903746,0.0006694585,0.1002259,0.0002966553,0.0000980582,0.00006613887,0.0001482872,0.00004195871,0.008078927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001016257,"threshold_uncertainty_score":0.00339973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066700981147371,"score_gpt":0.1787358856133662,"score_spread":0.1680688758018924,"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."}}