{"id":"W2153197516","doi":"10.1109/iccsc.2008.35","title":"Multiple Antennas and Multipass Structure for Adaptive Duplicated Filters and Interference Canceller in WCDMA Systems","year":2008,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Max-Planck-Institut für Chemie","keywords":"Computer science; Telecommunications link; Interference (communication); Context (archaeology); Base station; Single antenna interference cancellation; Electronic engineering; Antenna (radio); Code division multiple access; Multiuser detection; Reduction (mathematics); Adaptive filter; Joint (building); Channel (broadcasting); Telecommunications; Algorithm; Engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001482149,0.0001350109,0.00020087,0.0001264932,0.0001448806,0.00009153989,0.000688136,0.00007782989,0.00000274756],"category_scores_gemma":[0.00005770892,0.0001134903,0.00001613713,0.0002959423,0.0001605175,0.0002975028,0.0004980315,0.000198139,0.000001143391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005059654,"about_ca_system_score_gemma":0.0000495854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001026809,"about_ca_topic_score_gemma":0.0009870534,"domain_scores_codex":[0.99884,0.0001020827,0.0002219565,0.0004053912,0.00013604,0.0002945149],"domain_scores_gemma":[0.9986284,0.0005185717,0.00006110843,0.000540111,0.000143504,0.000108277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001831368,0.0008961175,0.4670087,0.000859184,0.0005113695,0.0001915139,0.05206377,0.05259103,0.07799979,0.07647769,0.0224863,0.2470831],"study_design_scores_gemma":[0.0008050196,0.00006789211,0.02291228,0.0000481093,7.300068e-7,0.00002769027,0.0001601851,0.975027,0.0004409706,0.00005527988,0.0003121096,0.0001426895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5566648,0.001208363,0.4399232,0.000740347,0.0001156356,0.0010765,0.0000184915,0.0001066882,0.0001459717],"genre_scores_gemma":[0.9819635,0.0003127766,0.01728063,0.00005705292,0.0000147137,0.0001063761,0.000003577005,0.000009133468,0.0002522552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.922436,"threshold_uncertainty_score":0.4628001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05313819735221003,"score_gpt":0.2682910723382358,"score_spread":0.2151528749860258,"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."}}