{"id":"W2585518349","doi":"10.1109/apcap.2016.7843196","title":"Broadband RCS reduction based on AMC technology for MMW applications","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Broadband; Reduction (mathematics); Reflection coefficient; Reflection (computer programming); Phase difference; Phase (matter); Optics; Materials science; Range (aeronautics); Telecommunications; Optoelectronics; Electronic engineering; Computer science; Engineering; Physics; Bandwidth (computing); 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":[0.0001203931,0.0005145072,0.000264852,0.000370674,0.0001548122,0.0003972799,0.000297689,0.0004503272,0.001175835],"category_scores_gemma":[0.0002721147,0.0001529497,0.0003920958,0.0004125583,0.0003008784,0.0003313696,0.0002285973,0.0003681163,0.0005257512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000413351,"about_ca_system_score_gemma":0.000196335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005541689,"about_ca_topic_score_gemma":0.0006334845,"domain_scores_codex":[0.9997097,0.00003597303,0.000006171093,0.00003219919,0.0001824509,0.00003351419],"domain_scores_gemma":[0.9998103,0.00004504649,0.00003610383,0.0000438179,0.00005577532,0.000009009555],"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":[0.00009197295,0.00003112786,0.0005022782,0.0001078495,0.00002212398,0.0001306095,0.00004575103,0.02056956,0.949537,0.006375437,0.0004711511,0.02211511],"study_design_scores_gemma":[0.00001777335,0.0002571433,0.004318553,0.00002835357,0.00005096629,0.000714569,0.00008726253,0.3161517,0.6653797,0.001802465,0.01114885,0.00004265891],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4228014,0.002367522,0.5395086,0.0003725133,0.0001218789,0.00006405832,0.000159988,0.0009899988,0.03361405],"genre_scores_gemma":[0.9020332,0.0007743305,0.09328364,0.00006818597,0.00004390501,0.00003387841,0.0001295077,0.00008324218,0.003550288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001175835,"threshold_uncertainty_score":0.003933489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066698477299225,"score_gpt":0.2343241811676078,"score_spread":0.2236571963946156,"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."}}