{"id":"W2093407554","doi":"10.1007/s11277-009-9809-x","title":"Performance Analysis of MIMO Based CDMA Code Acquisition Over Rayleigh Fading Channels","year":2009,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Rayleigh fading; MIMO; Code division multiple access; False alarm; Fading; Interference (communication); Antenna (radio); Code (set theory); Electronic engineering; Diversity combining; Transmit diversity; Telecommunications; Channel (broadcasting); Engineering; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002373364,0.0002333999,0.0004291444,0.0006225799,0.0002848963,0.00003122745,0.001272931,0.0001298422,0.00007362516],"category_scores_gemma":[0.00001405248,0.0002709136,0.0002222753,0.001555744,0.0001751166,0.0003500136,0.0001057923,0.0003664136,0.000009156527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001716511,"about_ca_system_score_gemma":0.00002803368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001264824,"about_ca_topic_score_gemma":0.0000213286,"domain_scores_codex":[0.9986635,0.0001048779,0.0004961746,0.0001928416,0.0002771034,0.0002654366],"domain_scores_gemma":[0.9973807,0.0002493586,0.0001666923,0.001942484,0.0001778243,0.00008294228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001502449,0.001343258,0.0132016,0.0003527616,0.002243869,0.000002786822,0.008678568,0.5960029,0.2470585,0.01868459,0.001503101,0.1107779],"study_design_scores_gemma":[0.0002345869,0.00004454792,0.02199525,0.0001061243,0.0002128993,9.540703e-7,0.00007620488,0.9611335,0.01462381,0.00009587176,0.001184925,0.0002913045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9223878,0.001300519,0.06760351,0.0008176999,0.00006079381,0.0003882397,0.0001825145,0.00116614,0.006092759],"genre_scores_gemma":[0.9849198,0.00134903,0.0130381,0.0001683149,0.00001859885,0.00007891483,0.0003588934,0.00003377656,0.00003460037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3651306,"threshold_uncertainty_score":0.9999743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0245629114073741,"score_gpt":0.2828793641338247,"score_spread":0.2583164527264506,"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."}}