{"id":"W1976822910","doi":"10.1109/iccnc.2013.6504228","title":"Performance of cooperative relaying with adaptive modulation and selection combining","year":2013,"lang":"en","type":"article","venue":"2013 International Conference on Computing, Networking and Communications (ICNC)","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Relay; Computer science; Link adaptation; Bit error rate; Maximal-ratio combining; Signal-to-noise ratio (imaging); Cooperative diversity; Modulation (music); Selection (genetic algorithm); Node (physics); Coding (social sciences); Electronic engineering; Diversity combining; Channel (broadcasting); Computer network; Telecommunications; Fading; Engineering; Mathematics; Statistics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002070793,0.001390625,0.001093391,0.0008465117,0.0008668049,0.001296893,0.001046748,0.001512782,0.0009632256],"category_scores_gemma":[0.007161178,0.0003212898,0.0004936928,0.001112166,0.001457572,0.00110051,0.001253383,0.0004945012,0.0003336666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001239795,"about_ca_system_score_gemma":0.001034421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00514286,"about_ca_topic_score_gemma":0.002452375,"domain_scores_codex":[0.9983405,0.0005180635,0.00008484901,0.0002220291,0.000490506,0.0003439592],"domain_scores_gemma":[0.9924828,0.004977137,0.0007304665,0.0003424313,0.001310688,0.0001564553],"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":[0.0008032786,0.00008878922,0.003784601,0.0001535698,0.0001168649,0.0005158472,0.0002360826,0.9514945,0.01712177,0.009439114,0.0007280777,0.01551767],"study_design_scores_gemma":[0.00006191232,0.0004785431,0.001884779,0.00002156031,0.00007387862,0.0003715926,0.00009064341,0.9849296,0.007267257,0.004395326,0.0003625596,0.00006243122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8502427,0.002365774,0.1148484,0.0007327553,0.00008943651,0.00009018268,0.0003488392,0.0004928515,0.03078903],"genre_scores_gemma":[0.9964107,0.0001713816,0.002625713,0.00002837842,0.00001102254,0.00001928118,0.00005936831,0.000008442674,0.0006657789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00514286,"threshold_uncertainty_score":0.01095158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06617419324837946,"score_gpt":0.2814570877106105,"score_spread":0.215282894462231,"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."}}