{"id":"W1979483570","doi":"10.1109/tap.2009.2029380","title":"On Using the Compound Interferometer to Obtain the Power Pattern of a Conventional Receiving Array","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Interferometry; Planar array; Weighting; Sparse array; Thinning; Optics; Planar; Reflective array antenna; Multiplicative function; Power (physics); Mathematics; Computer science; Physics; Algorithm; Telecommunications; Radiation pattern; Acoustics; Antenna (radio); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001618149,0.0001021469,0.00008873943,0.00008303599,0.0001037422,0.00003532097,0.00006311123,0.00003144472,0.00002761896],"category_scores_gemma":[0.000003384499,0.00006479229,0.00004807891,0.0001245824,0.00002488371,0.00004816289,3.604849e-7,0.0001470312,0.000004146284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002607532,"about_ca_system_score_gemma":0.000004542167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008601895,"about_ca_topic_score_gemma":0.000006220144,"domain_scores_codex":[0.9995084,0.00002812884,0.0001630218,0.00009688826,0.00009851596,0.000105038],"domain_scores_gemma":[0.9997311,0.0000626761,0.00002106881,0.0001242853,0.00003374553,0.00002712186],"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":[0.00007726456,0.00009742758,0.00001331938,0.00005672322,0.0001034517,0.000001379067,0.002603771,0.237306,0.7262213,0.0002063858,0.0002816867,0.03303136],"study_design_scores_gemma":[0.0009785665,0.001132783,0.003697686,0.001103938,0.00009981223,0.00009714658,0.000772728,0.5549547,0.4349572,0.0006590644,0.0009181512,0.0006282296],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3248375,0.0000236073,0.6743891,0.0002951186,0.0002012888,0.0001265706,0.000007350614,0.00003180821,0.00008761934],"genre_scores_gemma":[0.9994432,0.00001381955,0.0002524617,0.000207919,0.00002037136,0.00000565728,0.000001096682,0.00001147979,0.0000440315],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6746057,"threshold_uncertainty_score":0.2642153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0157314223433979,"score_gpt":0.2295719133859945,"score_spread":0.2138404910425966,"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."}}