{"id":"W1593533099","doi":"10.1109/vetecs.2004.1390546","title":"Joint domain localized adaptive processing for CDMA systems","year":2005,"lang":"en","type":"article","venue":"","topic":"Direction-of-Arrival Estimation Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Telecommunications link; Code division multiple access; Beamforming; Single antenna interference cancellation; Joint (building); Interference (communication); Multiuser detection; Space-division multiple access; Adaptive beamformer; Algorithm; Computer engineering; Real-time computing; Electronic engineering; Computer network; Telecommunications; Decoding methods; Engineering; Channel (broadcasting)","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":[0.0003595275,0.00008721955,0.0001649885,0.0001058692,0.00006712168,0.00009637891,0.000283176,0.00004295883,0.000004997823],"category_scores_gemma":[0.00003879067,0.0000739828,0.000051092,0.0002295655,0.00003211501,0.0005669951,0.00005772664,0.00003579207,0.000008224617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006728602,"about_ca_system_score_gemma":0.00007040893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003791488,"about_ca_topic_score_gemma":0.000004623119,"domain_scores_codex":[0.9991354,0.00003065985,0.0002971886,0.0002105987,0.0001853001,0.000140845],"domain_scores_gemma":[0.9993212,0.00005073149,0.0001496109,0.0002204681,0.0002128447,0.00004514647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001999036,0.0001167528,0.00001682474,0.0001420438,0.00001835772,6.937562e-7,0.0009100742,0.001642272,0.003410211,0.6677378,0.005266608,0.3207184],"study_design_scores_gemma":[0.0002973018,0.0001119376,0.00002567998,0.0001039844,0.000002855382,0.000009223929,0.00006383862,0.9031028,0.0749641,0.01116012,0.01001377,0.0001444402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000403803,0.00007679385,0.9880713,0.0003736555,0.0001009212,0.0004321668,0.000001192197,0.0005990518,0.009941067],"genre_scores_gemma":[0.3635214,9.486371e-7,0.6359184,0.00006604728,0.00003445397,0.00008961196,4.848197e-7,0.000005608224,0.0003629561],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9014605,"threshold_uncertainty_score":0.3016931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03287781838050877,"score_gpt":0.2796653049597593,"score_spread":0.2467874865792506,"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."}}