{"id":"W4405231872","doi":"10.1109/tsp.2024.3499772","title":"Corrections to “DoA Estimation for Hybrid Receivers: Full Spatial Coverage and Successive Refinement”","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Integrated Circuits and Semiconductor Failure Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ericsson (Canada); Carleton University; Ciena (Canada)","funders":"","keywords":"Computer science; Algorithm; Estimation; Speech recognition; Statistics; Mathematics; 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":[0.003638468,0.002878766,0.00161606,0.002872499,0.002070078,0.001859886,0.003793295,0.004319131,0.09871995],"category_scores_gemma":[0.04919069,0.001875086,0.002611902,0.002375701,0.001316197,0.003076646,0.002334655,0.008877507,0.06571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002166998,"about_ca_system_score_gemma":0.002713581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01794158,"about_ca_topic_score_gemma":0.0280447,"domain_scores_codex":[0.9963888,0.00104093,0.0004280604,0.0004905275,0.001484667,0.0001670643],"domain_scores_gemma":[0.974878,0.005270331,0.0008432959,0.00227315,0.01621866,0.0005165646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009559179,0.00001761874,0.0001016499,0.0002038836,0.00002695277,0.0001414091,0.00006434288,0.0008608805,0.0009443132,0.004764467,0.9762883,0.01649062],"study_design_scores_gemma":[0.00005444513,0.00004127535,0.0009345936,0.0002340601,0.0000490561,0.0004418798,0.00005733445,0.004884565,0.002687628,0.00842796,0.9820849,0.000102242],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.001111867,0.005665989,0.1377511,0.03568674,0.7922612,0.0001900303,0.004872594,0.009226065,0.01323429],"genre_scores_gemma":[0.04055559,0.01407052,0.2441128,0.05208234,0.16989,0.0008835986,0.01899241,0.02418676,0.4352261],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09871995,"threshold_uncertainty_score":0.3302512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152075726544901,"score_gpt":0.2388790356892865,"score_spread":0.2273582784238374,"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."}}