{"id":"W2099054420","doi":"","title":"Switching rates of dual selection diversity in κ-μ and α-μ fading channels","year":2009,"lang":"en","type":"article","venue":"Wireless Communications and Networking Conference","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Fading; Rician fading; Fading distribution; Nakagami distribution; Rayleigh fading; Diversity combining; Independent and identically distributed random variables; Diversity scheme; Computer science; Dual (grammatical number); Topology (electrical circuits); Electronic engineering; Telecommunications; Mathematics; Statistics; Channel (broadcasting); Engineering; Random variable","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":[0.001635405,0.0006126463,0.0006158691,0.0006378517,0.0005390221,0.001590315,0.0006109632,0.0004988798,0.0027967],"category_scores_gemma":[0.007030592,0.0004106469,0.0003924417,0.0006815299,0.001063236,0.001165218,0.000958985,0.001073169,0.0004922497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001321898,"about_ca_system_score_gemma":0.0007870626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001290402,"about_ca_topic_score_gemma":0.0009321327,"domain_scores_codex":[0.999124,0.0001753836,0.00003518028,0.0001139027,0.0003120698,0.0002395181],"domain_scores_gemma":[0.9961655,0.002386369,0.0004910682,0.000260557,0.0005387772,0.0001577879],"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":[0.0005900254,0.0001009787,0.0047633,0.0002386406,0.00005511615,0.0006314688,0.0004791016,0.6279983,0.03127684,0.2435642,0.003059257,0.08724286],"study_design_scores_gemma":[0.00002102249,0.00006791997,0.0008269268,0.00003595298,0.0000276692,0.0004606306,0.00008903389,0.959242,0.00621038,0.03189548,0.001086555,0.00003637755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1873267,0.001398566,0.7856727,0.000453625,0.0001002635,0.00007340551,0.0001742878,0.0003080236,0.02449245],"genre_scores_gemma":[0.9810809,0.0008194544,0.01527447,0.00006528966,0.00004891107,0.00004842402,0.00005496692,0.00003232855,0.002575268],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0027967,"threshold_uncertainty_score":0.009591103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05184902148404828,"score_gpt":0.2874333997801817,"score_spread":0.2355843782961335,"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."}}