{"id":"W4408717254","doi":"10.1109/emts57498.2023.10925238","title":"Perforated 3D Printed Short Backfire Antenna","year":2023,"lang":"en","type":"article","venue":"","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Antenna (radio); Computer science; 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":[0.0002206202,0.0005451282,0.0006152704,0.0004217602,0.000156569,0.000669212,0.0009660522,0.001482223,0.002382086],"category_scores_gemma":[0.0005405307,0.0003698476,0.000968755,0.0004206975,0.0003072101,0.0004856153,0.0004769549,0.0005389906,0.002069886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002463146,"about_ca_system_score_gemma":0.0001614748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001021094,"about_ca_topic_score_gemma":0.0001291542,"domain_scores_codex":[0.9996339,0.00003716802,0.0000225343,0.00005609823,0.0002133052,0.00003697778],"domain_scores_gemma":[0.999532,0.00007093097,0.000125193,0.00009876589,0.0001430974,0.00003005022],"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":[0.0002460903,0.00006281806,0.001588071,0.0003030734,0.0001440495,0.001169218,0.0000962792,0.03909643,0.832425,0.004814552,0.002921618,0.1171327],"study_design_scores_gemma":[0.0001131613,0.002396553,0.007886998,0.00009110741,0.0001961293,0.01147705,0.0001134024,0.2095983,0.7167976,0.003942841,0.04713621,0.0002506815],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1453975,0.000415539,0.8393837,0.0002059625,0.0003793115,0.00005583975,0.0002289714,0.002087646,0.01184542],"genre_scores_gemma":[0.6768408,0.00043427,0.31224,0.0002845016,0.00009476359,0.0001216565,0.0003585893,0.0001683624,0.009457057],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002382086,"threshold_uncertainty_score":0.007968903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01841434473261599,"score_gpt":0.2225501375403709,"score_spread":0.2041357928077549,"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."}}