{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002382998,0.0004955144,0.0003984282,0.000357259,0.0001672245,0.0004930987,0.0002619292,0.0007155188,0.003960473],"category_scores_gemma":[0.001183731,0.0001922964,0.0002979312,0.0005940651,0.0002404387,0.0004161532,0.0003698638,0.0003094766,0.001742943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003504508,"about_ca_system_score_gemma":0.0001804974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003759963,"about_ca_topic_score_gemma":0.000468408,"domain_scores_codex":[0.9997936,0.00006994295,0.000005160086,0.00002614275,0.00008086734,0.0000242878],"domain_scores_gemma":[0.9997668,0.0001123638,0.00002944535,0.00002476366,0.00005883375,0.000007755401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001859651,0.00006409601,0.001176671,0.0003200189,0.00009222556,0.0001345352,0.0001032289,0.7697437,0.06137563,0.02426281,0.007105131,0.135436],"study_design_scores_gemma":[0.00003472848,0.000213297,0.001256397,0.00002974731,0.00004171179,0.0002790902,0.0001019639,0.9500929,0.01317647,0.008752398,0.02599481,0.00002642976],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06486529,0.00280341,0.8841149,0.001138435,0.0001579518,0.00007242256,0.0002047661,0.0006323882,0.04601047],"genre_scores_gemma":[0.7834361,0.003107173,0.1820575,0.0003016052,0.0001178042,0.00025206,0.0004388962,0.0003336394,0.02995531],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003960473,"threshold_uncertainty_score":0.01324904,"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."}}