{"id":"W2164310707","doi":"10.1109/icc.2006.255482","title":"BER of BFSK with Postdetection Switched Combining in Correlated Rayleigh Fading","year":2006,"lang":"en","type":"article","venue":"2006 IEEE International Conference on Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Rayleigh fading; Bit error rate; Frequency-shift keying; Fading; Mathematics; Statistics; Algorithm; Electronic engineering; Telecommunications; Computer science; Engineering; Demodulation; Decoding methods; Channel (broadcasting)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001521253,0.0001698529,0.0001994261,0.0003820995,0.00007832085,0.00003270019,0.001011831,0.00009871686,0.000061971],"category_scores_gemma":[0.00001949746,0.0001815682,0.00003951083,0.0003146429,0.0001352735,0.000246431,0.00007739698,0.0004661499,0.00001764201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002106311,"about_ca_system_score_gemma":0.00003538072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003489066,"about_ca_topic_score_gemma":0.0011718,"domain_scores_codex":[0.9989087,0.00006774048,0.0004860425,0.0001464546,0.0002209863,0.0001700757],"domain_scores_gemma":[0.9983687,0.0001952799,0.000165844,0.0009873571,0.000253269,0.00002953098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002140727,0.001131081,0.01608287,0.00005607175,0.0002319235,0.000006429869,0.0010504,0.2774434,0.2715758,0.4166113,0.001273196,0.01432348],"study_design_scores_gemma":[0.00235058,0.0002031043,0.01749141,0.001199187,0.00003481331,0.00002811239,0.0005956935,0.8227509,0.1341644,0.01627016,0.003962614,0.0009490327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5677571,0.0003886198,0.1335367,0.002178593,0.0005001087,0.0009701418,0.0001274635,0.001521594,0.2930196],"genre_scores_gemma":[0.9891136,0.0004037483,0.009980936,0.00002324589,0.00001363061,0.0001134761,0.0001416281,0.00003394835,0.0001758274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5453076,"threshold_uncertainty_score":0.7404138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03841615168049465,"score_gpt":0.2931076202302877,"score_spread":0.254691468549793,"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."}}