{"id":"W2126269115","doi":"10.1109/tvt.2008.2010217","title":"Performance of Optimum Switching Adaptive $M$-QAM for Amplify-and-Forward Relays","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Quadrature amplitude modulation; Upper and lower bounds; Algorithm; Computer science; QAM; Rayleigh fading; Relay; Bit error rate; Mathematics; Fading; Physics; Power (physics); Mathematical analysis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001393664,0.001087632,0.0006598033,0.0003285191,0.0003442091,0.001125405,0.0007155648,0.001032001,0.002042291],"category_scores_gemma":[0.002537432,0.0003522559,0.0003268612,0.0002897542,0.0008497131,0.0006554239,0.0004878504,0.0006079093,0.0004463592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001356007,"about_ca_system_score_gemma":0.001064345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003283008,"about_ca_topic_score_gemma":0.002598208,"domain_scores_codex":[0.9993368,0.0002966394,0.00002345921,0.0001104718,0.0001225143,0.0001101436],"domain_scores_gemma":[0.998519,0.001030085,0.0001557621,0.00005256899,0.0001985494,0.00004399111],"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":[0.00187514,0.0001459875,0.001562679,0.0002864011,0.00009578079,0.0001870542,0.0003347573,0.878966,0.04039207,0.03177937,0.001915307,0.04245955],"study_design_scores_gemma":[0.00004096235,0.0002530188,0.000337373,0.00001892219,0.00002450926,0.0000362173,0.00004280043,0.9896092,0.006718152,0.002624288,0.0002776296,0.00001680657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4362296,0.001459576,0.530104,0.0007576423,0.00008903252,0.0001084885,0.0001903791,0.0008698485,0.03019134],"genre_scores_gemma":[0.9843,0.0001895524,0.01376122,0.00003420441,0.00001096468,0.00001840446,0.00003353008,0.00001967106,0.00163258],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003283008,"threshold_uncertainty_score":0.009838581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03077136742079941,"score_gpt":0.250483196710073,"score_spread":0.2197118292892736,"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."}}