{"id":"W2125259057","doi":"10.1109/icc.2009.5199173","title":"Mean Time to Loss of Lock and Average Switching Rate of an Automatic Frequency Control Loop with an Interferer and Noise in a Fading Channel","year":2009,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Fading; Rician fading; Rayleigh fading; Fading distribution; Narrowband; Channel (broadcasting); Noise (video); Computer science; Control theory (sociology); Telecommunications; Electronic engineering; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007558024,0.0001175351,0.000276073,0.000247616,0.00004433963,0.00009221876,0.0006849528,0.00003815194,0.00001362612],"category_scores_gemma":[0.0000238862,0.00009445415,0.00001150262,0.0003539016,0.00004424182,0.00071446,0.0001631929,0.0001465664,0.000002581711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002388098,"about_ca_system_score_gemma":0.00004095323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001700638,"about_ca_topic_score_gemma":0.0002017537,"domain_scores_codex":[0.9987773,0.0002690136,0.0002994254,0.0002684171,0.0001641307,0.000221764],"domain_scores_gemma":[0.9988563,0.0001439443,0.00009256228,0.0006632581,0.00009281883,0.0001511267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007120696,0.002025539,0.01195507,0.0004358684,0.0001860068,0.0001622835,0.07013386,0.06503791,0.2405126,0.04056686,0.00004710552,0.5682248],"study_design_scores_gemma":[0.0008434881,0.0006781251,0.01213268,0.0001593594,0.00000222065,0.00001289657,0.00004944515,0.9836457,0.001191727,0.001167467,3.796564e-7,0.0001164847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.846818,0.00004541329,0.151957,0.0005611727,0.000003869785,0.0002721524,7.045457e-7,0.00003728765,0.0003043878],"genre_scores_gemma":[0.9857925,0.000006899639,0.0139827,0.0001635331,0.000005585349,0.00000641627,7.18027e-7,0.000006979491,0.00003470112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9186078,"threshold_uncertainty_score":0.3851728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01258813324709504,"score_gpt":0.2587197966380341,"score_spread":0.246131663390939,"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."}}