{"id":"W2103809390","doi":"10.1109/aps.2006.1711005","title":"Antenna optimization for RF mote communications","year":2006,"lang":"en","type":"article","venue":"2006 IEEE Antennas and Propagation Society International Symposium","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Antenna (radio); Impedance matching; Transceiver; Limiting; Electrical impedance; Antenna tuner; Radio frequency; Electronic engineering; Wireless; Computer science; Wireless sensor network; Electrical engineering; Matching (statistics); Antenna efficiency; Engineering; Telecommunications; Dipole antenna; Computer network; Mathematics","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":[0.0001880055,0.0001788009,0.0001674977,0.00005280761,0.0002300638,0.0001410988,0.0002488227,0.0001075883,0.00003362692],"category_scores_gemma":[0.000007314155,0.0001767768,0.0001938922,0.0001835434,0.0001032032,0.000323237,0.00002669517,0.0001078556,0.000009538724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007029082,"about_ca_system_score_gemma":0.00001241832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006404598,"about_ca_topic_score_gemma":0.00001810283,"domain_scores_codex":[0.9990199,0.00001626951,0.0003599272,0.0002099075,0.0001915778,0.0002024666],"domain_scores_gemma":[0.9992626,0.00006020273,0.00008923621,0.0002262557,0.0003133339,0.00004835711],"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":[0.00006900525,0.0003454514,0.003956497,0.0002517006,0.0008691967,0.000002673441,0.0009926757,0.1039742,0.8401294,0.008710053,0.03754529,0.00315383],"study_design_scores_gemma":[0.0004304508,0.00001983112,0.0002055842,0.00003200138,0.00005144915,0.000006790803,0.0001232078,0.9902786,0.0009348305,0.0003046552,0.007396478,0.0002161192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00399145,0.0004998951,0.9899079,0.002779241,0.0003858745,0.0003193233,0.0001510304,0.0002515097,0.001713781],"genre_scores_gemma":[0.9708712,0.0025827,0.02277591,0.0003771067,0.0004879735,0.0001108379,0.0007232437,0.00004961377,0.002021479],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.967132,"threshold_uncertainty_score":0.7208747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01165874312389093,"score_gpt":0.2318825701543752,"score_spread":0.2202238270304843,"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."}}