{"id":"W2100250194","doi":"10.1109/icc.1999.767885","title":"Multiuser channel estimation for detection of cochannel signals","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Time division multiple access; Channel (broadcasting); Computer science; Asynchronous communication; Context (archaeology); Multiuser detection; Interference (communication); Key (lock); Speech recognition; Real-time computing; Electronic engineering; Telecommunications; Code division multiple access; Engineering; Computer security","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":[0.00009748744,0.00006636433,0.00009091432,0.00006861412,0.00002647335,0.000003747687,0.00006676806,0.00004930484,0.00001024341],"category_scores_gemma":[0.00007193368,0.00006970032,0.00003061346,0.00009078847,0.00001228216,0.0001182255,0.000005434834,0.00003857214,0.000002832332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002512988,"about_ca_system_score_gemma":0.00000278989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002815153,"about_ca_topic_score_gemma":0.000004714053,"domain_scores_codex":[0.9996398,0.00001151688,0.0001616608,0.00005811679,0.00004652911,0.00008237248],"domain_scores_gemma":[0.9996111,0.00007807998,0.00003292272,0.0001890592,0.00007084037,0.00001796734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000006008612,0.00002774052,0.000002971474,0.0001078715,0.00001727352,3.185357e-8,0.0001636226,0.4238585,0.5462595,0.004819298,0.0001093453,0.02462783],"study_design_scores_gemma":[0.00009123494,0.00001515623,0.000008032375,0.000008596839,0.000002166154,3.731041e-7,0.00002592261,0.3648774,0.630962,0.003701053,0.0002578329,0.00005022785],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007912447,0.0001108762,0.9901291,0.000006783297,0.00004758761,0.0002778757,0.000003136298,0.000462109,0.00105016],"genre_scores_gemma":[0.8971204,0.00004189427,0.1026061,0.000008423326,0.000004367982,0.0001436131,0.000004071717,0.00001933159,0.00005185912],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8892079,"threshold_uncertainty_score":0.2842297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01825957989444658,"score_gpt":0.261417606442182,"score_spread":0.2431580265477354,"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."}}