{"id":"W3092233937","doi":"10.1109/jsen.2020.3029934","title":"Sparse DOA Estimation for Directional Antenna Arrays: An Experimental Validation","year":2020,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Direction-of-Arrival Estimation Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"King Fahd University of Petroleum and Minerals","keywords":"Direction of arrival; Directivity; Radiation pattern; Antenna (radio); Acoustics; Mean squared error; Computer science; Multipath propagation; Antenna array; Algorithm; Electronic engineering; Physics; Mathematics; Telecommunications; Engineering; Statistics","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":[0.0003437905,0.000138523,0.0001783756,0.0001563911,0.0002107397,0.0002109795,0.0003436644,0.00006027015,0.00003195072],"category_scores_gemma":[0.0001648344,0.0001389367,0.0001133143,0.0002790116,0.00004210758,0.001556693,0.00002134356,0.0001453478,0.00001201639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007745582,"about_ca_system_score_gemma":0.00007774584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005442083,"about_ca_topic_score_gemma":2.513853e-7,"domain_scores_codex":[0.9986435,0.0001042559,0.0004355535,0.0002539653,0.0003904731,0.0001722534],"domain_scores_gemma":[0.9989163,0.00007789955,0.0003397718,0.000168408,0.0003086021,0.0001889813],"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":[0.0001543565,0.0003736303,0.0001738856,0.00004048078,0.00006176198,0.00001251341,0.003908339,0.0492327,0.9118835,0.004872253,0.004266115,0.02502047],"study_design_scores_gemma":[0.0002568881,0.0002808472,0.0001121363,0.00001955926,0.000006385303,0.0001134356,0.00004654265,0.4745924,0.5227208,0.001438884,0.0002995002,0.0001126715],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1108216,0.00001628296,0.8871056,0.0006301391,0.0007591576,0.000197705,0.000005489596,0.0002480457,0.0002160164],"genre_scores_gemma":[0.6297064,0.000004931327,0.3698522,0.0001305311,0.0002577287,0.00001125496,0.000006641232,0.00001203553,0.00001826214],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5188848,"threshold_uncertainty_score":0.5665674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05493039373258703,"score_gpt":0.3159004582486766,"score_spread":0.2609700645160896,"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."}}