{"id":"W2158365388","doi":"10.1109/mcise.2003.1238705","title":"The direction-of-arrival problem: coming at you","year":2003,"lang":"en","type":"article","venue":"Computing in Science & Engineering","topic":"Direction-of-Arrival Estimation Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Submarine; Direction of arrival; Computer science; Computation; Navy; SIGNAL (programming language); Eigenvalues and eigenvectors; Transmitter; Algorithm; Real-time computing; Telecommunications; Engineering; Physics; Marine engineering","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":[0.001852115,0.001311306,0.001426231,0.0007997124,0.001468824,0.00230225,0.001644457,0.004553135,0.006642315],"category_scores_gemma":[0.01108885,0.0008058178,0.0009775381,0.001631167,0.001606212,0.004442049,0.00182515,0.003711521,0.001939365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000675638,"about_ca_system_score_gemma":0.001030682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00669424,"about_ca_topic_score_gemma":0.003808389,"domain_scores_codex":[0.9988909,0.0004456622,0.00004970067,0.0002185956,0.0002691411,0.0001260495],"domain_scores_gemma":[0.9964335,0.002686479,0.0002232255,0.000119728,0.0003974744,0.000139667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000659603,0.0002500914,0.003167961,0.000876536,0.000139292,0.001616146,0.0009240062,0.4198635,0.003431834,0.3370116,0.04417016,0.1878893],"study_design_scores_gemma":[0.0001738708,0.000122982,0.0007988369,0.00006672587,0.0000573521,0.0008340318,0.0006897141,0.7619595,0.001474004,0.2170272,0.01670852,0.00008722654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0121606,0.001335373,0.9719442,0.004545368,0.0005479637,0.00008982499,0.0002624619,0.0002128282,0.008901474],"genre_scores_gemma":[0.3748114,0.008457354,0.5623131,0.00175621,0.002367107,0.0006276143,0.001972371,0.0003231298,0.04737156],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00669424,"threshold_uncertainty_score":0.02222073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008856306417097795,"score_gpt":0.2443900697327043,"score_spread":0.2355337633156065,"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."}}