{"id":"W2132159417","doi":"10.1109/jsac.2005.864008","title":"Outage probability analysis of a MC-DS-CDMA system with variable repetition code rate and spreading factor","year":2006,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Subcarrier; Computer science; Repetition code; Code division multiple access; Code rate; Code (set theory); Bit error rate; Channel (broadcasting); Algorithm; Outage probability; Fading; Telecommunications; Electronic engineering; Statistics; Mathematics; Block code; Decoding methods; Linear code; Orthogonal frequency-division multiplexing","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":[0.001503515,0.0006144567,0.000728379,0.0006913082,0.0005190527,0.0007079699,0.0005959447,0.000771399,0.001086346],"category_scores_gemma":[0.006539522,0.0004119402,0.0003469976,0.000705084,0.001090764,0.0007374156,0.000675164,0.0006946843,0.0001699516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001458533,"about_ca_system_score_gemma":0.0006314875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007036437,"about_ca_topic_score_gemma":0.003421125,"domain_scores_codex":[0.9988158,0.0004239215,0.00004462939,0.0001103113,0.0003743114,0.0002309909],"domain_scores_gemma":[0.9931644,0.005079683,0.0006060929,0.0002567208,0.0007520753,0.0001410976],"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":[0.000387569,0.00003934919,0.006654895,0.0001662511,0.0001020914,0.001095332,0.0004623493,0.9335881,0.01276924,0.03188253,0.0007748793,0.01207733],"study_design_scores_gemma":[0.000006227175,0.00003528252,0.001390803,0.000006585738,0.00002081708,0.0001473195,0.00003816827,0.9950588,0.0009655832,0.002173573,0.0001438934,0.00001297407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6041467,0.002115823,0.3827807,0.0007218813,0.00005691313,0.00004574682,0.0002635718,0.0004724271,0.009396217],"genre_scores_gemma":[0.9962454,0.0001937228,0.002998631,0.000019558,0.0000209941,0.000008466138,0.00003132359,0.00001156691,0.0004701206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007036437,"threshold_uncertainty_score":0.013991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03539580522560002,"score_gpt":0.2895408645753915,"score_spread":0.2541450593497915,"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."}}