{"id":"W2117019322","doi":"10.1109/pacrim.1995.519438","title":"Performance analysis of code-phase multiplexed direct-sequence spread-spectrum signaling in mobile fading channels","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":"University of British Columbia","funders":"","keywords":"Rician fading; Fading; Computer science; Direct-sequence spread spectrum; Bit error rate; Spread spectrum; Rayleigh fading; Electronic engineering; Telecommunications; Channel (broadcasting); Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001216196,0.001119129,0.0005831314,0.001059547,0.0003774871,0.000713286,0.000368411,0.000756052,0.00161475],"category_scores_gemma":[0.004806104,0.0002183709,0.0003238916,0.0007326332,0.0007550925,0.0005744644,0.0005157057,0.0004432445,0.0005106294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009796013,"about_ca_system_score_gemma":0.000456986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002602279,"about_ca_topic_score_gemma":0.001361742,"domain_scores_codex":[0.9988102,0.0003284133,0.00003022706,0.00008152018,0.0005340672,0.0002156304],"domain_scores_gemma":[0.9953644,0.002870922,0.0003742027,0.0002613149,0.001040335,0.00008870666],"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":[0.001061028,0.00009638767,0.005962756,0.000171519,0.0001214149,0.0004288374,0.0001437373,0.871533,0.07195658,0.01444976,0.0004925497,0.03358247],"study_design_scores_gemma":[0.00001314739,0.0002729644,0.002475624,0.0000174599,0.00003151705,0.0002310683,0.00002653794,0.9799767,0.01499701,0.001642318,0.0002868264,0.00002876236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8076971,0.001861887,0.1715904,0.0002954434,0.0000416346,0.00005743543,0.0002173486,0.0006279109,0.01761078],"genre_scores_gemma":[0.9956526,0.0003267484,0.003250869,0.00002104399,0.00001419521,0.00001038215,0.00005893838,0.00002429989,0.000640923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002602279,"threshold_uncertainty_score":0.007107556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07224422155322824,"score_gpt":0.3276930187323593,"score_spread":0.2554487971791311,"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."}}