{"id":"W1964874608","doi":"10.1007/s11277-006-9214-7","title":"An Adaptive MMOE-PIC Detector for Asynchronous DS-CDMA Communications","year":2006,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Computer science; Code division multiple access; Detector; Asynchronous communication; Interference (communication); Single antenna interference cancellation; Algorithm; Minimum mean square error; Energy (signal processing); Matched filter; Multiuser detection; Telecommunications; Statistics; Mathematics; Channel (broadcasting)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001051181,0.0005286373,0.0008547576,0.0006305465,0.0005487595,0.0009538043,0.0011752,0.001022699,0.001893802],"category_scores_gemma":[0.002315268,0.000466554,0.0003277914,0.0004839948,0.0003534735,0.000811797,0.001015947,0.0008612805,0.000958426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004865575,"about_ca_system_score_gemma":0.0006409376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006049814,"about_ca_topic_score_gemma":0.00147153,"domain_scores_codex":[0.9990915,0.0002204329,0.00002750844,0.0001349174,0.0004450124,0.00008071928],"domain_scores_gemma":[0.9990319,0.0004286139,0.00006222046,0.0001159442,0.0003043165,0.00005713053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001829425,0.0003186531,0.005996678,0.0003168042,0.0002093103,0.0004308627,0.0001598557,0.03637894,0.3107,0.04574836,0.006153814,0.5917573],"study_design_scores_gemma":[0.00008593978,0.0003461258,0.00231507,0.00003340629,0.0001047492,0.0008202336,0.00002236948,0.8824266,0.09965842,0.00456231,0.009565262,0.00005952148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01403046,0.0005076689,0.9807987,0.0001476188,0.0001923296,0.00005902707,0.00004879238,0.0007344976,0.003481038],"genre_scores_gemma":[0.4422872,0.0004694767,0.5464265,0.0006067752,0.0002756874,0.0001378522,0.000169256,0.00007734577,0.009549825],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001893802,"threshold_uncertainty_score":0.006335378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05614708080849803,"score_gpt":0.3278894737269876,"score_spread":0.2717423929184896,"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."}}