{"id":"W2047762025","doi":"10.1109/ccece.2008.4564496","title":"Performance analysis of distributed Alamouti&amp;#x2019;s code for cooperative diversity networks","year":2008,"lang":"en","type":"article","venue":"Conference proceedings - Canadian Conference on Electrical and Computer Engineering","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Bit error rate; Rayleigh fading; Quadrature amplitude modulation; Maximal-ratio combining; QAM; Computer science; Cooperative diversity; Diversity combining; Expression (computer science); Modulation (music); Antenna diversity; Algorithm; Truncation (statistics); Fading; Mathematics; Electronic engineering; Telecommunications; Physics; Engineering; Decoding methods; Antenna (radio)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0017582,0.0007191693,0.0004596361,0.0006748838,0.0005084683,0.0006622786,0.0006049783,0.0008003237,0.0007791715],"category_scores_gemma":[0.006247224,0.0002025869,0.0002610459,0.0005616693,0.001037522,0.000612726,0.0006349286,0.0004097451,0.0001972115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001859318,"about_ca_system_score_gemma":0.001006524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005395905,"about_ca_topic_score_gemma":0.003702203,"domain_scores_codex":[0.9989733,0.000353018,0.0000221093,0.00008303811,0.0004363897,0.0001321958],"domain_scores_gemma":[0.9953719,0.002860773,0.0003741361,0.0003094044,0.001002537,0.00008128311],"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":[0.00007201936,0.00002088616,0.0007443816,0.00003209963,0.0000188449,0.00008240516,0.00008400008,0.9762059,0.005194421,0.0102912,0.0003023194,0.006951424],"study_design_scores_gemma":[0.000004192055,0.00003551038,0.0002145327,0.000004877249,0.000004477126,0.00002917686,0.00001472904,0.997245,0.0009293141,0.001423378,0.00008880681,0.000006015772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6583603,0.002055573,0.3245653,0.000452988,0.00004550253,0.00005673028,0.0001082498,0.0003631093,0.0139922],"genre_scores_gemma":[0.9917748,0.000207081,0.007087826,0.00002385786,0.00001404814,0.00002216708,0.00003325319,0.00001608151,0.0008208378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005395905,"threshold_uncertainty_score":0.01349038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04054784301080097,"score_gpt":0.2232331141161975,"score_spread":0.1826852711053965,"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."}}