{"id":"W2171227687","doi":"10.1109/tcomm.2010.093010.090216","title":"Performance of an AFC Loop in the Presence of a Single Interferer in a Fading Channel","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Rician fading; Fading; Independent and identically distributed random variables; Nakagami distribution; Rayleigh fading; Channel (broadcasting); Fading distribution; Computer science; Control theory (sociology); Loop (graph theory); Lock (firearm); Electronic engineering; Mathematics; Topology (electrical circuits); Algorithm; Telecommunications; Statistics; Engineering; Random variable; Control (management)","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":[0.001402583,0.0008637843,0.0007102283,0.0006058225,0.001011478,0.001031046,0.0005778202,0.001295577,0.0006858619],"category_scores_gemma":[0.005957303,0.0001718061,0.0002853386,0.0005077566,0.001161371,0.0008226148,0.0007141965,0.0005746586,0.000145457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006400229,"about_ca_system_score_gemma":0.0005553182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004964659,"about_ca_topic_score_gemma":0.002281664,"domain_scores_codex":[0.9992004,0.0002251851,0.00003337429,0.0001057004,0.00019362,0.0002417452],"domain_scores_gemma":[0.9942334,0.003918963,0.0006218333,0.0002261853,0.0007836982,0.0002158588],"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":[0.001894049,0.000191239,0.008675307,0.0001535614,0.0001004622,0.0006567155,0.0002537536,0.9160038,0.04260371,0.003067372,0.0003226357,0.02607747],"study_design_scores_gemma":[0.00002959146,0.0007371293,0.001587816,0.00001000645,0.00003844612,0.000174948,0.00005883068,0.9889243,0.007737388,0.0005837132,0.00009901471,0.00001875386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.941333,0.0003871382,0.05336465,0.0001431689,0.00003790987,0.00002648326,0.00004173332,0.0002634414,0.004402519],"genre_scores_gemma":[0.9985344,0.00003812597,0.001248128,0.000009628426,0.00000503003,0.000003848361,0.0000076382,0.000004842881,0.000148312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004964659,"threshold_uncertainty_score":0.009871483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03221807304165422,"score_gpt":0.2777821394061698,"score_spread":0.2455640663645156,"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."}}