{"id":"W2023520185","doi":"10.1109/tap.2011.2167934","title":"Maximum Gain of a Lossy Antenna","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Antenna (radio); Antenna gain; Antenna factor; Antenna measurement; Antenna efficiency; Radiation pattern; Antenna aperture; Dipole antenna; Lossy compression; Limit (mathematics); Physics; Optics; Acoustics; Mathematics; Telecommunications; Computer science; Mathematical analysis","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":[0.00009800046,0.0001281087,0.0001668248,0.0001792218,0.00006158055,0.00001108045,0.0000559454,0.00006589223,0.0001394019],"category_scores_gemma":[0.000001527639,0.0001131421,0.00008113401,0.0002363543,0.00006710085,0.0001313927,3.656849e-7,0.0001159154,0.00002018336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001213912,"about_ca_system_score_gemma":0.000007348028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004405774,"about_ca_topic_score_gemma":0.00001898255,"domain_scores_codex":[0.9993798,0.0000215954,0.0002193525,0.0001360405,0.0001017852,0.0001413881],"domain_scores_gemma":[0.9997059,0.0000141112,0.00003428432,0.0001316883,0.0000557331,0.00005832021],"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":[0.0002721203,0.0003938359,0.000380155,0.0003817113,0.0003961139,0.00002683118,0.003632116,0.0005744455,0.8931022,0.0005370587,0.00005709548,0.1002463],"study_design_scores_gemma":[0.0009240408,0.0004585686,0.002188168,0.000252129,0.0002298472,0.00004244979,0.0008924633,0.8040666,0.1888584,0.001452807,0.00007774468,0.0005567863],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04871746,0.0001296351,0.9500129,0.00002315533,0.000125285,0.0001128685,0.00001416424,0.0001200804,0.0007444045],"genre_scores_gemma":[0.9984142,0.0004737405,0.0008198545,0.00002981323,0.00001308754,0.00001226151,0.000001878427,0.00001988116,0.0002153443],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9496967,"threshold_uncertainty_score":0.4613802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02190230857761279,"score_gpt":0.2058737741780082,"score_spread":0.1839714656003954,"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."}}