{"id":"W2766152610","doi":"10.1109/apusncursinrsm.2017.8073348","title":"Ultra-broadband V-band fractal T-square antenna","year":2017,"lang":"en","type":"article","venue":"","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Fractal antenna; Broadband; Fractal; Square (algebra); Telecommunications; Antenna (radio); Physics; Electronic engineering; Microstrip antenna; Computer science; Mathematics; Engineering; Antenna factor; Geometry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005824576,0.0002431053,0.0003124296,0.0002205977,0.00008517649,0.0003521305,0.000482315,0.0006175928,0.0008005553],"category_scores_gemma":[0.0001957454,0.0001439268,0.0004248965,0.0003436024,0.0001561067,0.000257029,0.0002776922,0.0002393909,0.0007200842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001516773,"about_ca_system_score_gemma":0.00009036912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001178431,"about_ca_topic_score_gemma":0.00009512457,"domain_scores_codex":[0.9998935,0.00001441376,0.000005762209,0.00003023977,0.00003594666,0.00002008205],"domain_scores_gemma":[0.9998376,0.00002144471,0.0000448528,0.00003380992,0.00004450049,0.00001777581],"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":[0.0002945196,0.00003680574,0.001121804,0.0001855502,0.00007526623,0.0008803863,0.00008112989,0.02438618,0.8419955,0.006434176,0.003057018,0.1214516],"study_design_scores_gemma":[0.0001105518,0.001952792,0.007713499,0.0000626088,0.0001210541,0.01538406,0.0001463069,0.4226276,0.4857554,0.003916644,0.06202845,0.0001810926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.380996,0.001155384,0.5948922,0.0003774114,0.0003632014,0.00003559011,0.0001781733,0.002070885,0.01993123],"genre_scores_gemma":[0.8968543,0.0002954873,0.09769027,0.0001302575,0.00004722597,0.00002787837,0.0001511858,0.00004829453,0.004755093],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008005553,"threshold_uncertainty_score":0.002678096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01337667891705866,"score_gpt":0.2270193124033189,"score_spread":0.2136426334862603,"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."}}