{"id":"W2101246173","doi":"10.1109/tcomm.2005.855007","title":"Revised Analyses of Postdetection Switched Combining in Nakagami-&lt;tex&gt;$m$&lt;/tex&gt;Fading","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Nakagami distribution; Frequency-shift keying; Fading; Rician fading; Mathematics; Rayleigh fading; Bit error rate; Phase-shift keying; Statistics; Algorithm; Telecommunications; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00183263,0.00152073,0.0007959028,0.001032152,0.0004137854,0.00161372,0.0008890764,0.0005476267,0.004450183],"category_scores_gemma":[0.006289762,0.000416673,0.0007157916,0.001254325,0.0009580125,0.001462637,0.0007282031,0.000986314,0.0011744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001500736,"about_ca_system_score_gemma":0.0008150631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001674028,"about_ca_topic_score_gemma":0.001582665,"domain_scores_codex":[0.9985597,0.0002936934,0.00006478828,0.0001279325,0.0007737223,0.0001802636],"domain_scores_gemma":[0.9949642,0.002950437,0.0003890756,0.0004820823,0.001142275,0.0000719013],"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":[0.0005941542,0.00008331661,0.002309032,0.0005243162,0.0001927715,0.0003490892,0.0002933213,0.7100507,0.05998611,0.1224489,0.002333289,0.1008349],"study_design_scores_gemma":[0.00002069834,0.0001696101,0.001937147,0.00004847895,0.0001687224,0.0003309403,0.0000499795,0.9248301,0.03200537,0.03527984,0.005103197,0.00005586304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1401063,0.005116253,0.8206888,0.0004537392,0.0001531135,0.00005622953,0.0002668301,0.0004917923,0.03266701],"genre_scores_gemma":[0.9187718,0.004205028,0.06580414,0.0002590335,0.0002230607,0.00005998195,0.0002750217,0.0001795303,0.01022225],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004450183,"threshold_uncertainty_score":0.01488733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04752880903407521,"score_gpt":0.3235591464618798,"score_spread":0.2760303374278046,"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."}}