{"id":"W2099862052","doi":"10.1109/78.902109","title":"Direction-of-arrival estimation of an amplitude-distorted wavefront","year":2001,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Direction-of-Arrival Estimation Techniques","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Wavefront; Array processing; Distortion (music); Direction of arrival; Estimator; Amplitude; Robustness (evolution); Algorithm; Mathematics; Estimation theory; Parameterized complexity; Signal processing; Computer science; Physics; Statistics; Optics; Telecommunications","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":[0.0006659146,0.0009678809,0.0008348062,0.0006135944,0.0002120598,0.0007157756,0.0007275185,0.001030962,0.0007440006],"category_scores_gemma":[0.004600873,0.0005472617,0.0005661371,0.0008086467,0.0005232667,0.001000661,0.0008676928,0.0009731923,0.001084119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002971372,"about_ca_system_score_gemma":0.0006502935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001198376,"about_ca_topic_score_gemma":0.001446745,"domain_scores_codex":[0.9995328,0.0001197026,0.00002686227,0.00009273172,0.000196557,0.00003135334],"domain_scores_gemma":[0.9991347,0.0003383662,0.0001654852,0.0001446897,0.0001934925,0.00002323194],"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":[0.0005415533,0.0001137012,0.003127109,0.0004712075,0.0001815099,0.0003076828,0.0001910078,0.3585359,0.1761736,0.03313397,0.003405265,0.4238175],"study_design_scores_gemma":[0.00003727049,0.00007308699,0.001620046,0.00002224154,0.00004295833,0.0004973809,0.00003132342,0.9433605,0.04155332,0.009534146,0.003174247,0.00005343457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00934272,0.0002114512,0.9895799,0.00007363146,0.00002195567,0.00001427604,0.00004134074,0.0002351107,0.0004796713],"genre_scores_gemma":[0.2252508,0.001078238,0.7710542,0.00007962601,0.00008512916,0.00005822808,0.0003894621,0.0001131511,0.001891208],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001198376,"threshold_uncertainty_score":0.00352174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02142499544939811,"score_gpt":0.2852116709079119,"score_spread":0.2637866754585138,"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."}}