{"id":"W2800535512","doi":"10.1117/12.2305236","title":"Secure communication using ergodic chaotic parameter modulation","year":2018,"lang":"en","type":"article","venue":"","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Interleaving; Orthogonal frequency-division multiplexing; Ergodic theory; Chaotic; Computer science; Modulation (music); Bit error rate; Secure communication; Multiplexing; Algorithm; Electronic engineering; Theoretical computer science; Channel (broadcasting); Computer network; Telecommunications; Mathematics; Physics; Engineering; Artificial intelligence","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":[0.0002872235,0.0001049836,0.00009208648,0.0001165925,0.0001832689,0.0001542185,0.00052833,0.00006007619,0.0000937579],"category_scores_gemma":[0.00005252099,0.00009892921,0.00004124286,0.0003838659,0.00008509458,0.0009296341,0.000185287,0.0001003033,0.0002020385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009911048,"about_ca_system_score_gemma":0.00004207682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001132501,"about_ca_topic_score_gemma":0.00002788396,"domain_scores_codex":[0.9990233,0.0001147603,0.0001915969,0.000258565,0.0002287316,0.0001830147],"domain_scores_gemma":[0.998788,0.00008849545,0.00009091371,0.0008091041,0.0001665824,0.00005688518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008720486,0.0006201764,0.004443994,0.0001035548,0.0001129573,0.0000143111,0.008615563,0.01780692,0.3713169,0.3602012,0.0046804,0.2319969],"study_design_scores_gemma":[0.0001834499,0.00005761386,0.003080137,0.00002102004,0.000004875709,0.00001200192,0.000009882864,0.9772576,0.007622554,0.01140515,0.0002143622,0.0001313593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2135046,0.00002249757,0.7847388,0.0004517848,0.0001349781,0.0001157423,3.30687e-7,0.0001796201,0.0008516037],"genre_scores_gemma":[0.7985786,0.000002702732,0.2008387,0.0004193282,0.0000687362,0.000003497237,0.000004693898,0.000007168758,0.000076515],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9594507,"threshold_uncertainty_score":0.4034216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03604779286198274,"score_gpt":0.2819243810210696,"score_spread":0.2458765881590869,"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."}}