{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001101355,0.0004123313,0.0005587557,0.0005227368,0.0004546101,0.0006683873,0.0006467467,0.0007734453,0.003274872],"category_scores_gemma":[0.003831459,0.0002633026,0.0002927952,0.0004307429,0.0008396672,0.001530534,0.001811003,0.0006819301,0.001036237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003599581,"about_ca_system_score_gemma":0.000280397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001333094,"about_ca_topic_score_gemma":0.0001069606,"domain_scores_codex":[0.9989318,0.0003811796,0.00005287879,0.000224673,0.000316386,0.00009298554],"domain_scores_gemma":[0.9987081,0.0005664469,0.0002025199,0.0003139889,0.0001697969,0.00003918702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007653908,0.0001020952,0.002221481,0.0003247985,0.0002062359,0.002026865,0.00110266,0.08700517,0.1244084,0.6457743,0.005337588,0.130725],"study_design_scores_gemma":[0.0002979347,0.0005971512,0.0009563265,0.0001168935,0.0001281352,0.001431945,0.0002021559,0.5692531,0.08480924,0.3020982,0.03996443,0.0001444457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.150307,0.0006619139,0.8207686,0.0007594375,0.0004299801,0.0002092271,0.0001507322,0.0007935993,0.02591946],"genre_scores_gemma":[0.9216788,0.0003542491,0.06771029,0.000314066,0.0001687394,0.000186121,0.0001466704,0.00007719589,0.009363877],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003274872,"threshold_uncertainty_score":0.01095551,"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."}}