{"id":"W4213212520","doi":"10.1109/aps/ursi47566.2021.9704427","title":"Fork-shape Wideband Monopoles for Microwave Imaging","year":2021,"lang":"en","type":"article","venue":"2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI)","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Microwave imaging; Wideband; Microwave; Bandwidth (computing); Fork (system call); Magnetic monopole; Fabrication; Physics; Computer science; Optics; Electrical engineering; Electronic engineering; Engineering; Telecommunications","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":[0.0001647594,0.0004936876,0.000257494,0.0002627857,0.0001256265,0.0003446729,0.0003775316,0.0008109524,0.001800361],"category_scores_gemma":[0.0005006154,0.0002294026,0.0003412522,0.0003052418,0.0002502655,0.0005452883,0.0002415889,0.0003536535,0.001333721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002057238,"about_ca_system_score_gemma":0.00007413447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004089684,"about_ca_topic_score_gemma":0.00009873983,"domain_scores_codex":[0.9998606,0.00003696578,0.000005517803,0.00003073911,0.00004856762,0.00001761919],"domain_scores_gemma":[0.9997125,0.0001049574,0.00006697965,0.00003809022,0.0000581328,0.0000192098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003062199,0.00002643043,0.0002913481,0.0002812366,0.00001793454,0.00024693,0.00007920458,0.003414427,0.8637964,0.01402376,0.001126493,0.1163897],"study_design_scores_gemma":[0.0000972159,0.001812073,0.002828523,0.0001396772,0.0001051752,0.006031976,0.0001487746,0.08496603,0.783354,0.01283932,0.1075355,0.0001418015],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09478595,0.004393443,0.8826942,0.0003836209,0.0001851559,0.00007261342,0.00007923957,0.0008703599,0.01653533],"genre_scores_gemma":[0.631578,0.00213784,0.3559095,0.0002506513,0.0001644059,0.00009992417,0.0001199905,0.0001761537,0.009563481],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001800361,"threshold_uncertainty_score":0.006022811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01171547447245528,"score_gpt":0.2432599008447971,"score_spread":0.2315444263723418,"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."}}