{"id":"W1482452012","doi":"","title":"Decision Aided detection and performance of Continuous Phase Chirp Keying","year":2013,"lang":"en","type":"article","venue":"International Symposium on Performance Evaluation of Computer and Telecommunication Systems","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Continuous phase modulation; Additive white Gaussian noise; Minimum-shift keying; Bit error rate; Chirp; Computer science; Keying; Matched filter; Phase-shift keying; Modulation (music); Algorithm; Frequency-shift keying; Electronic engineering; Mathematics; Telecommunications; Demodulation; White noise; Decoding methods; Optics; Physics; Acoustics; 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":[0.000781387,0.0001631538,0.0002571451,0.0002350005,0.00009654791,0.00005523363,0.0003773227,0.00008248458,0.00001675944],"category_scores_gemma":[0.00002052441,0.0001633472,0.00003234113,0.0001393918,0.00007978913,0.0006488746,0.000106773,0.0001607723,0.000006528222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009828468,"about_ca_system_score_gemma":0.00001350846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002397179,"about_ca_topic_score_gemma":0.000001904552,"domain_scores_codex":[0.9983892,0.0001132776,0.0007144784,0.0001608063,0.0005118893,0.0001102938],"domain_scores_gemma":[0.9981421,0.0002028033,0.0003148919,0.0005194432,0.0007762386,0.00004448234],"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":[0.00007375069,0.0001130845,0.003171027,0.0001262534,0.00007669881,2.294902e-8,0.0004055289,0.09987348,0.0269943,0.0002995049,0.00003958958,0.8688267],"study_design_scores_gemma":[0.001079998,0.0002925941,0.02404755,0.0003124989,0.00001556878,0.00001083515,0.00003389905,0.9380696,0.0355931,0.00004323517,0.0003599059,0.0001412507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971059,0.0004385901,0.02609843,0.00004616003,0.000323108,0.0006357972,0.000004990555,0.000116602,0.001277329],"genre_scores_gemma":[0.9931954,0.002676205,0.003804063,0.00001313849,0.00004600846,0.0002075904,0.00002785378,0.00002099458,0.000008784546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8686855,"threshold_uncertainty_score":0.6661105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01775632689266978,"score_gpt":0.2827668460868369,"score_spread":0.2650105191941672,"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."}}