{"id":"W2105024782","doi":"10.1109/vetecf.2002.1040378","title":"An adaptive parallel interference canceler using adaptive blind arrays","year":2003,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Single antenna interference cancellation; Computer science; Interference (communication); Code division multiple access; Smart antenna; Multiuser detection; Computational complexity theory; Algorithm; Antenna (radio); Adaptive beamformer; Electronic engineering; Directional antenna; Telecommunications; Engineering; Beamforming","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":[0.0004836193,0.0001794461,0.0001886479,0.000137412,0.0002296698,0.0002286157,0.002131339,0.00008284568,0.0001293555],"category_scores_gemma":[0.00003423259,0.000162366,0.00004732585,0.0007010569,0.0001327537,0.001020556,0.0003156494,0.0003848446,0.00006438706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001563511,"about_ca_system_score_gemma":0.000327227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002834201,"about_ca_topic_score_gemma":0.0003138083,"domain_scores_codex":[0.9978637,0.0005363866,0.0002527439,0.000501839,0.0003666828,0.0004787162],"domain_scores_gemma":[0.9976683,0.0001712074,0.00009286148,0.001535342,0.0003100283,0.0002222861],"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":[0.0001221463,0.0003292414,0.0004798156,0.000004202001,0.00006515983,0.00001562655,0.002108352,0.09460609,0.00196155,0.8741201,0.0008803143,0.02530747],"study_design_scores_gemma":[0.0004115515,0.000219212,0.0002077552,0.00002470719,0.000002253075,0.00001163687,0.0003121744,0.9924483,0.001479131,0.004057509,0.0005714889,0.0002543061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00752154,0.0001560359,0.9730574,0.0001727227,0.0001087967,0.0002345099,8.787744e-7,0.0001305884,0.01861746],"genre_scores_gemma":[0.6697987,0.00003016958,0.3297721,0.0001189007,0.00002168095,0.00002218995,7.446677e-7,0.00000959111,0.00022593],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8978422,"threshold_uncertainty_score":0.6621094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1305487858202957,"score_gpt":0.3435825390737196,"score_spread":0.2130337532534239,"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."}}