{"id":"W4386128313","doi":"10.1109/pn58661.2023.10222983","title":"Efficiently Harvesting Infrared Energy: An Optimization Strategy for Rectenna Design","year":2023,"lang":"en","type":"article","venue":"","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Rectenna; Antenna (radio); Diode; Energy harvesting; Electronic engineering; Capacitance; Optoelectronics; Impedance matching; Computer science; Electrical engineering; Energy (signal processing); Electrical impedance; Materials science; Engineering; Physics","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":[0.0004160455,0.0008445205,0.0005714407,0.0003901527,0.0002661557,0.0006432334,0.0005319613,0.0006789232,0.001797038],"category_scores_gemma":[0.0005402147,0.0003674035,0.0004425242,0.000371596,0.0003491522,0.0009121487,0.0003861455,0.0004325488,0.0005422485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003185794,"about_ca_system_score_gemma":0.0003542322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004400555,"about_ca_topic_score_gemma":0.0007352441,"domain_scores_codex":[0.9998586,0.00004190457,0.00000677651,0.00003240087,0.00004240002,0.0000178873],"domain_scores_gemma":[0.9998801,0.00005525053,0.00002130303,0.0000111228,0.00002607179,0.000006096829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000845309,0.00008766399,0.0005541127,0.0002371456,0.00005129464,0.0001422437,0.0001115624,0.8397409,0.05470069,0.02236902,0.0013122,0.08060868],"study_design_scores_gemma":[0.000009260876,0.00007268075,0.0001183818,0.00001110974,0.00001153174,0.00004579845,0.00002454034,0.9903502,0.003930686,0.002981008,0.002434042,0.00001072958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02668788,0.0007238816,0.9619181,0.000236752,0.00003626481,0.00007336949,0.00002502846,0.000123019,0.01017569],"genre_scores_gemma":[0.4382326,0.0009445248,0.5521392,0.0002013936,0.00003845754,0.0002844731,0.00008112221,0.0001414915,0.007936686],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001797038,"threshold_uncertainty_score":0.006011724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04964020747446366,"score_gpt":0.2499350497642748,"score_spread":0.2002948422898111,"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."}}