{"id":"W2113208427","doi":"10.1109/tap.2003.814755","title":"A method for the evaluation of small antenna Q","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"Poynting vector; Poynting's theorem; Antenna (radio); Physics; Energy current; Energy (signal processing); Magnetic energy; Mathematical analysis; Mathematics; Computer science; Magnetic field; Telecommunications; Quantum mechanics","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":[0.0009087051,0.0001003129,0.0001247764,0.00009552285,0.0001232932,0.00001914083,0.00004287277,0.00004901455,0.00003582614],"category_scores_gemma":[0.00001341671,0.00007081912,0.0000906694,0.0002057796,0.0000304809,0.00006102453,1.360715e-7,0.00007867001,0.000001975487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001999408,"about_ca_system_score_gemma":0.00001949116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001230621,"about_ca_topic_score_gemma":0.00003221572,"domain_scores_codex":[0.9993477,0.00008852798,0.0001877836,0.0001189239,0.0001481854,0.000108886],"domain_scores_gemma":[0.9994848,0.000141393,0.00003715374,0.0001209364,0.0001878815,0.00002784701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001022384,0.0001369131,0.00002370703,0.000197816,0.0004811113,4.277587e-7,0.000987809,0.05013701,0.4497851,0.001771722,0.00004321163,0.496333],"study_design_scores_gemma":[0.0004324001,0.00006025384,0.00009412367,0.0000268279,0.0003126166,0.000004990915,0.0002727728,0.9747563,0.02332483,0.0004749909,0.0001516297,0.00008826025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003879352,0.0004181671,0.9948661,0.00008882349,0.0001372591,0.0004324637,0.00001193976,0.00004328314,0.0001225854],"genre_scores_gemma":[0.9922297,0.0002874605,0.007186934,0.00003442927,0.00001292427,0.0001112264,0.000001799216,0.00001567382,0.0001198558],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9883503,"threshold_uncertainty_score":0.288792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04820118371215355,"score_gpt":0.2841890867714085,"score_spread":0.235987903059255,"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."}}