{"id":"W2144840912","doi":"10.1142/s0218127404011685","title":"COMMUNICATION BETWEEN SYNCHRONIZED RANDOM NUMBER GENERATORS","year":2004,"lang":"en","type":"article","venue":"International Journal of Bifurcation and Chaos","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chaotic; Key (lock); Computer science; Random number generation; Communications system; CHAOS (operating system); Generator (circuit theory); Secure communication; Pseudorandom number generator; Synchronization (alternating current); SIGNAL (programming language); Control theory (sociology); Algorithm; Telecommunications; Computer network; Power (physics); Physics; Artificial intelligence; Computer security; Control (management); Encryption","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005758989,0.0001066631,0.0001621563,0.0001940931,0.00007966492,0.0002091174,0.0007497272,0.00005439523,0.00003524249],"category_scores_gemma":[0.00009841986,0.00009710203,0.00008451918,0.0001596747,0.00005930561,0.0009432727,0.0001015771,0.000178894,0.00003714548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001923791,"about_ca_system_score_gemma":0.0001519571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002980679,"about_ca_topic_score_gemma":0.000004193394,"domain_scores_codex":[0.9986702,0.00009366329,0.0004752312,0.000134332,0.000524081,0.0001025029],"domain_scores_gemma":[0.9984774,0.0001137228,0.0004534231,0.000200205,0.0006562467,0.00009900423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006778613,0.001249501,0.03299493,0.00006630542,0.001399701,0.0001492258,0.0105997,0.006826099,0.04637964,0.2918743,0.0038038,0.6039789],"study_design_scores_gemma":[0.0970291,0.00124492,0.1596873,0.002006987,0.000408913,0.004657758,0.001036569,0.03282454,0.3002919,0.3371144,0.06072487,0.002972797],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.284387,0.0002823566,0.7051373,0.009110677,0.000535538,0.00009669816,0.000003701997,0.00003713774,0.0004096243],"genre_scores_gemma":[0.971454,0.0002980742,0.02737226,0.0004542679,0.0003714711,0.000003865437,0.00001124581,0.00000755139,0.00002725901],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.687067,"threshold_uncertainty_score":0.3959706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01050870141645809,"score_gpt":0.2738111145926191,"score_spread":0.263302413176161,"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."}}