{"id":"W2111264558","doi":"10.1109/icc.2003.1204492","title":"SER of two-dimensional signalings in Rayleigh fading with channel estimation errors","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Fading; Rayleigh fading; Channel state information; Channel (broadcasting); Fading distribution; Computer science; Algorithm; Electronic engineering; Mathematics; Telecommunications; Wireless; Engineering","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":[0.004754965,0.001331513,0.0009221754,0.001028203,0.0003787997,0.001306421,0.0005920008,0.001041284,0.0006996432],"category_scores_gemma":[0.02317637,0.0003464872,0.0003803714,0.0008979492,0.001927221,0.001932299,0.001158779,0.0005004878,0.0002935567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008100438,"about_ca_system_score_gemma":0.0009393628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009461833,"about_ca_topic_score_gemma":0.0005297147,"domain_scores_codex":[0.9974643,0.001107415,0.0001305418,0.0001976828,0.0007734346,0.0003265912],"domain_scores_gemma":[0.9871815,0.009297948,0.001071398,0.001003102,0.001286802,0.0001592223],"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":[0.0002462411,0.00002756201,0.001436504,0.00008472333,0.00003366707,0.0001868232,0.00009233813,0.9556785,0.006001179,0.02187017,0.0001758908,0.01416647],"study_design_scores_gemma":[0.00001193698,0.0001931803,0.000718613,0.00002702658,0.00001612546,0.0002178256,0.00004419356,0.9843972,0.005846702,0.008243384,0.0002510019,0.0000327866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2675827,0.0009076503,0.7253538,0.0002160296,0.00004831759,0.00005813514,0.0001523638,0.0002858141,0.005395115],"genre_scores_gemma":[0.964581,0.0006042975,0.03380933,0.00005415129,0.00002910889,0.00005428412,0.00008336899,0.00003041476,0.0007541115],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004754965,"threshold_uncertainty_score":0.02514696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01073938336005756,"score_gpt":0.2446131515989353,"score_spread":0.2338737682388778,"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."}}