{"id":"W2154121411","doi":"10.1109/lawp.2009.2016442","title":"Highly Efficient Leaky-Wave Antenna Array Using a Power-Recycling Series Feeding Network","year":2009,"lang":"en","type":"article","venue":"IEEE Antennas and Wireless Propagation Letters","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Antenna array; Antenna (radio); Leaky wave antenna; Power (physics); Array gain; Series (stratigraphy); Dipole antenna; Computer science; Electronic engineering; Antenna efficiency; Radiation pattern; Acoustics; Electrical engineering; Physics; Microstrip antenna; 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":[0.0001898063,0.0005994844,0.0005694827,0.0002776209,0.0001523936,0.0005300731,0.0008417841,0.000480113,0.0009240523],"category_scores_gemma":[0.0003974497,0.0003267562,0.000305085,0.0005246546,0.0002707594,0.0009777346,0.000487354,0.0003429946,0.0008002495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002822665,"about_ca_system_score_gemma":0.0002021882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001323309,"about_ca_topic_score_gemma":0.0001768033,"domain_scores_codex":[0.9997858,0.00004221039,0.00001565669,0.00005891208,0.00007800483,0.00001953462],"domain_scores_gemma":[0.9996542,0.00005585273,0.0001136138,0.00006303945,0.0000927558,0.00002062558],"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":[0.0002282136,0.00008148934,0.001005936,0.0001348346,0.00005847176,0.00014165,0.00007456946,0.01189414,0.917964,0.003261174,0.0009171334,0.06423854],"study_design_scores_gemma":[0.00006464349,0.0006599744,0.001200841,0.0000213928,0.00008482327,0.0009518475,0.0000276892,0.156132,0.8319997,0.00108183,0.007722018,0.00005324577],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2652408,0.0002499046,0.7239444,0.0001854384,0.00008565796,0.00005391546,0.00009370152,0.002191116,0.007955163],"genre_scores_gemma":[0.740027,0.0002733941,0.2540335,0.0001317196,0.00005433798,0.00009388474,0.0001162118,0.00009644665,0.005173536],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009240523,"threshold_uncertainty_score":0.003091276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01383309215407975,"score_gpt":0.2074406744465815,"score_spread":0.1936075822925017,"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."}}