{"id":"W4396529228","doi":"10.22215/etd/2023-15879","title":"DoA Estimation in Hybrid Analog and Digital Receivers using Orthogonal Analog Combiners.","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Advanced Electrical Measurement Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Analog signal; Computer science; Electronic engineering; Analogue electronics; Electrical engineering; Computer hardware; Engineering; Electronic circuit; Digital signal processing","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008749691,0.0002579755,0.0002895888,0.0005031534,0.00003242765,0.0000635418,0.00008821424,0.0001473322,0.00001340933],"category_scores_gemma":[0.0001008852,0.0002845665,0.00004484826,0.000502892,0.00001527108,0.0003503562,0.000009985791,0.0003299778,0.000008385418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002397034,"about_ca_system_score_gemma":0.00002433676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002882827,"about_ca_topic_score_gemma":0.0001475406,"domain_scores_codex":[0.9989177,0.00001042136,0.0003148334,0.0002617328,0.0002367361,0.0002585922],"domain_scores_gemma":[0.9996612,0.00005750479,0.00005560021,0.0001173424,0.00004841153,0.00005993999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002489553,0.0001779304,0.01136314,0.002049251,0.0005358572,0.0003567431,0.0006190025,0.3390429,0.02139608,0.001543846,0.007906669,0.6147596],"study_design_scores_gemma":[0.000610341,0.000136556,0.01640251,0.0006961483,0.00009982373,0.0000183905,0.0002668375,0.9544369,0.0115409,0.01421943,0.0001367236,0.001435424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9018414,0.0003792877,0.07985469,0.0000165666,0.0004746068,0.0007529634,0.00004552576,0.002605768,0.01402921],"genre_scores_gemma":[0.9941898,0.0001734527,0.003948719,0.000008521593,0.00001742747,0.00002158126,0.001208495,0.00008219828,0.0003498023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.615394,"threshold_uncertainty_score":0.9999607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695511263247304,"score_gpt":0.2646529139963422,"score_spread":0.2476978013638691,"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."}}