{"id":"W2024334229","doi":"10.1109/mwscas.2014.6908545","title":"6-GHz all-pass-filter-based delay-and-sum beamformer in 130nm CMOS","year":2014,"lang":"en","type":"article","venue":"","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"True time delay; CMOS; Electronic engineering; Beamforming; Filter (signal processing); Broadband; Band-pass filter; Computer science; Group delay and phase delay; Electrical engineering; Acoustics; Engineering; Telecommunications; Physics; Antenna (radio); Phased array","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":[0.0002553745,0.0002532389,0.0002560922,0.000197991,0.00002450944,0.00005101901,0.0002064173,0.0001690747,0.0003718831],"category_scores_gemma":[0.00004677288,0.0002302074,0.00005501627,0.0002224141,0.0000398298,0.0001848212,0.000002440438,0.0003010083,0.0002306101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001429615,"about_ca_system_score_gemma":0.00002272758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002314519,"about_ca_topic_score_gemma":0.0001855897,"domain_scores_codex":[0.9987456,0.00004275982,0.0003312881,0.0002505521,0.0001714479,0.0004583145],"domain_scores_gemma":[0.9993654,0.000110363,0.0000217823,0.0003400535,0.00002688894,0.0001355154],"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":[0.000043004,0.0002729665,0.02366667,0.0004396584,0.0004285763,0.0001181689,0.001148293,0.23511,0.6095951,0.03270458,0.03993031,0.05654268],"study_design_scores_gemma":[0.002905271,0.0003240789,0.00634049,0.0001809415,0.00008084282,0.00008329218,0.0001384154,0.6536455,0.2570042,0.005068953,0.07245999,0.001768054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4528467,0.0003612828,0.1952399,0.0003534129,0.0007021694,0.0005296775,0.00001130172,0.001256743,0.3486988],"genre_scores_gemma":[0.9970905,0.00001723712,0.001870408,0.000529839,0.00005813708,0.00005992758,0.00001209837,0.0000616142,0.0003002702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5442438,"threshold_uncertainty_score":0.9387587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01353887220769432,"score_gpt":0.2071951664991812,"score_spread":0.1936562942914869,"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."}}