{"id":"W2103134420","doi":"10.1109/jsac.2005.853805","title":"Block-error rate model for DPSK in Rayleigh- and sub-Rayleigh-fading channels","year":2005,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Rayleigh fading; Computer science; Fading; Phase-shift keying; Bit error rate; Algorithm; Markov chain; Channel state information; Transmission (telecommunications); Modulation (music); Block Error Rate; Synchronization (alternating current); Keying; Electronic engineering; Error detection and correction; Rayleigh scattering; Telecommunications; Channel (broadcasting); Wireless; Optics; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002183303,0.0008139093,0.001354985,0.0008440944,0.0005714627,0.001113287,0.002347785,0.001792922,0.00345318],"category_scores_gemma":[0.005767324,0.0004780791,0.0007025057,0.0008742673,0.001204474,0.001973567,0.0008638536,0.001567126,0.001164951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001652416,"about_ca_system_score_gemma":0.001164826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01002488,"about_ca_topic_score_gemma":0.005910498,"domain_scores_codex":[0.9989113,0.0002884714,0.00005518158,0.0001572881,0.0004036312,0.0001841777],"domain_scores_gemma":[0.996295,0.002390468,0.0004627653,0.0001835993,0.0006096129,0.00005848989],"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":[0.00005660903,0.00002317514,0.0004608407,0.00006150059,0.00001752327,0.0001360029,0.0001090825,0.9345608,0.001520204,0.05935764,0.0004771457,0.003219639],"study_design_scores_gemma":[0.000005334339,0.00001154898,0.00007970766,0.000004679107,0.000005340223,0.00002103301,0.000005227563,0.9959233,0.0001730322,0.003632342,0.0001317963,0.000006702856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04094968,0.0008506742,0.9489791,0.0004764729,0.00008396333,0.0001296075,0.0005300741,0.0003977884,0.007602634],"genre_scores_gemma":[0.9304858,0.001984333,0.04888671,0.0001763478,0.0001099016,0.0005413474,0.0005528274,0.0001282989,0.01713447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01002488,"threshold_uncertainty_score":0.01993304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04226267067053916,"score_gpt":0.30626092946155,"score_spread":0.2639982587910109,"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."}}