{"id":"W4399655014","doi":"10.1002/eng2.12949","title":"Textile‐based high‐gain bow‐tie antenna using metamaterials for medical applications","year":2024,"lang":"en","type":"article","venue":"Engineering Reports","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Ferdowsi University of Mashhad; Concordia University","keywords":"Bow tie; Metamaterial; High-gain antenna; Textile; Antenna (radio); Antenna gain; Engineering; Computer science; Materials science; Acoustics; Dipole antenna; Electrical engineering; Antenna efficiency; Optoelectronics; Physics; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004933366,0.000232526,0.0003361042,0.0002547511,0.0000508258,0.0001169889,0.0001048805,0.0001399775,0.0001853255],"category_scores_gemma":[0.0001019391,0.0002227738,0.0001943005,0.0003728047,0.0000192789,0.0001075938,0.00001686381,0.0001338262,0.00001358095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008311805,"about_ca_system_score_gemma":0.00006396887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001259308,"about_ca_topic_score_gemma":9.032465e-7,"domain_scores_codex":[0.9985473,0.000005883135,0.0005309265,0.0003098082,0.0002715135,0.0003345821],"domain_scores_gemma":[0.9993256,0.0001172754,0.0000337931,0.0003189506,0.00004012018,0.000164252],"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":[0.000004009948,0.00003586035,0.00003995855,0.001362509,0.0005464391,0.0008852186,0.00006254453,0.1538961,0.8383288,0.001186503,0.000936286,0.002715758],"study_design_scores_gemma":[0.00006617528,0.00000752331,0.00002075295,0.000179184,0.0001378946,0.0001244217,0.000006201153,0.977671,0.007688756,0.0001132566,0.01372174,0.0002630867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01706415,0.001637855,0.9787333,0.00006584568,0.0008504844,0.0002951064,0.00002217153,0.001300613,0.00003045157],"genre_scores_gemma":[0.9884129,0.00003059503,0.01049115,0.00002583386,0.0005041661,0.000237244,0.00006670233,0.0001080543,0.0001233972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9713487,"threshold_uncertainty_score":0.9084453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01098920797364935,"score_gpt":0.241754095402611,"score_spread":0.2307648874289616,"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."}}