{"id":"W2124357060","doi":"10.1109/ultsym.2007.21","title":"2C-4 A 64-Channel Beamformer for 50 MHz Linear Arrays","year":2007,"lang":"en","type":"article","venue":"Proceedings/Proceedings - IEEE Ultrasonics Symposium","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Virtex; Computer science; Field-programmable gate array; Channel (broadcasting); Beamforming; Interpolation (computer graphics); Linear interpolation; Computer hardware; Set (abstract data type); Sampling (signal processing); Algorithm; Electronic engineering; Engineering; Telecommunications; Filter (signal processing); Artificial intelligence; Computer vision","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":[0.0006132313,0.0005684523,0.0003757992,0.0005879491,0.0003618939,0.0006051746,0.0006064365,0.0009236262,0.01514842],"category_scores_gemma":[0.001326214,0.0002982904,0.0002709724,0.000546663,0.0003045375,0.0005525826,0.0003934719,0.000356657,0.005031065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006736809,"about_ca_system_score_gemma":0.001316691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001824807,"about_ca_topic_score_gemma":0.004480904,"domain_scores_codex":[0.9994897,0.0001020941,0.0000371319,0.000091191,0.0002231104,0.00005666358],"domain_scores_gemma":[0.9994266,0.0001329771,0.00004387772,0.00009085504,0.0002604253,0.00004535884],"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":[0.0006889161,0.0001365229,0.001948036,0.0003588384,0.0001183618,0.000342908,0.0001778067,0.05462944,0.4630843,0.02322166,0.02268324,0.4326099],"study_design_scores_gemma":[0.0002856885,0.0009714873,0.004484644,0.0001157379,0.0001466951,0.001807336,0.00009624629,0.4024056,0.328552,0.006742342,0.2542142,0.0001778975],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007421514,0.0001832803,0.9813254,0.0002002793,0.0001229419,0.0001480798,0.0001715652,0.002849373,0.007577517],"genre_scores_gemma":[0.0960227,0.0001818519,0.8888556,0.0004119079,0.00004513948,0.0002730785,0.0005447754,0.0002415282,0.01342343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01514842,"threshold_uncertainty_score":0.05067652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01439256978723482,"score_gpt":0.2259163406421027,"score_spread":0.2115237708548679,"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."}}