{"id":"W2171256801","doi":"10.1109/twc.2009.081187","title":"Performance analysis of soft-bit maximal ratio combining in cooperative relay networks","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Maximal-ratio combining; Relay; Bit error rate; Upper and lower bounds; Modulation (music); Computer science; Cooperative diversity; Topology (electrical circuits); Channel (broadcasting); Telecommunications; Signal-to-noise ratio (imaging); Diversity combining; Algorithm; Antenna diversity; Mathematics; Fading; Wireless; Physics; Combinatorics","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":[0.004550762,0.001796466,0.001417741,0.001100322,0.0005525922,0.002028642,0.001244235,0.001500538,0.001834325],"category_scores_gemma":[0.01675835,0.0007162321,0.000563584,0.001307866,0.002045197,0.002146737,0.001897358,0.00109552,0.0007088596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001950069,"about_ca_system_score_gemma":0.0008248333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0014547,"about_ca_topic_score_gemma":0.0008618212,"domain_scores_codex":[0.995591,0.002015285,0.0001196193,0.0002967977,0.001497519,0.0004796771],"domain_scores_gemma":[0.9897923,0.007823627,0.0008130445,0.0003828441,0.001048432,0.0001396297],"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":[0.0002460685,0.00003638653,0.0008499485,0.0002304367,0.00009106071,0.0002599577,0.0002554743,0.9026787,0.009303224,0.06720903,0.0006918845,0.01814784],"study_design_scores_gemma":[0.00001180009,0.0000852913,0.0002947874,0.00002890177,0.00002409671,0.0001277585,0.00003293196,0.9799226,0.001792064,0.01726651,0.0003868106,0.00002643051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09981276,0.005060836,0.87481,0.0008736472,0.00005930108,0.00005828785,0.0001511232,0.0004413687,0.01873275],"genre_scores_gemma":[0.9725734,0.002112302,0.02305726,0.0001686624,0.00008705877,0.00006894512,0.00007877572,0.00006630868,0.001787376],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004550762,"threshold_uncertainty_score":0.02406698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03476783630864365,"score_gpt":0.2812846776390366,"score_spread":0.2465168413303929,"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."}}