{"id":"W1541290803","doi":"","title":"CDMA Multiuser Delay-Tracking and Detection","year":2002,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Code division multiple access; Multiuser detection; Control theory (sociology); Fading; Algorithm; Kalman filter; Spread spectrum; Matched filter; Group delay and phase delay; Filter (signal processing); Telecommunications; Decoding methods; Artificial intelligence","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":[0.0001724015,0.00005358719,0.00005171562,0.00006925753,0.0001497843,0.0001926201,0.0005175256,0.00003795353,0.00006271435],"category_scores_gemma":[0.00002713364,0.00004827512,0.00001477157,0.0002693167,0.00003122482,0.0004774582,0.0003450082,0.0001408237,0.000103101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001895634,"about_ca_system_score_gemma":0.000002899735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003174999,"about_ca_topic_score_gemma":0.00007509737,"domain_scores_codex":[0.9993322,0.0000705375,0.00009726022,0.000173628,0.0001606956,0.0001656887],"domain_scores_gemma":[0.9991883,0.0001269417,0.00002167569,0.0005364239,0.00006201839,0.00006462404],"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":[7.72185e-7,0.0000288923,0.0007166187,0.000002982847,0.000005266118,0.000003028411,0.0003330953,0.0001851408,0.001556037,0.005118106,0.0004921503,0.9915579],"study_design_scores_gemma":[0.0001270838,0.00001636124,0.003804223,0.000004344617,4.843272e-7,0.0000186357,0.000009375758,0.9884506,0.002313204,0.0001906128,0.00499278,0.00007233013],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06683721,0.0004870647,0.9219868,0.0013787,0.00007676585,0.0001087771,7.610741e-8,0.0002617735,0.008862832],"genre_scores_gemma":[0.976518,0.0001915551,0.02230589,0.0001248761,0.00002307674,0.000008908485,1.059076e-7,0.000004606105,0.0008229197],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9914856,"threshold_uncertainty_score":0.1968602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04968625171200175,"score_gpt":0.270253744452471,"score_spread":0.2205674927404692,"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."}}