{"id":"W2906838622","doi":"10.1109/newcas.2018.8585501","title":"Implementation of a Chaotic True Random Number Generator Based on Fuzzy Modeling","year":2018,"lang":"en","type":"article","venue":"","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"NIST; Random number generation; Chaotic; Computer science; Randomness; Robustness (evolution); Fuzzy logic; Randomness tests; CMOS; Electronic engineering; Pseudorandom number generator; Signal generator; Entropy (arrow of time); Computer engineering; Algorithm; Mathematics; Engineering; Artificial intelligence; Telecommunications","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":[0.0003752542,0.0001197609,0.0001454413,0.0001050901,0.00007517899,0.00005897524,0.0002860096,0.0000338195,0.0003799333],"category_scores_gemma":[0.00001991334,0.0001050936,0.00006893792,0.0002996018,0.00002876845,0.0003243796,0.0000473048,0.00005426379,0.0001588277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005926781,"about_ca_system_score_gemma":0.0001162164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000252991,"about_ca_topic_score_gemma":0.00006223929,"domain_scores_codex":[0.9987923,0.00008044911,0.0002913441,0.0003010221,0.000336163,0.000198751],"domain_scores_gemma":[0.9992033,0.0000635023,0.00008813437,0.0003898398,0.0001900362,0.00006522612],"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":[0.001043437,0.00093004,0.003554627,0.0002052808,0.0001392203,0.00002635377,0.004036133,0.1675249,0.5070657,0.1436744,0.007155797,0.1646441],"study_design_scores_gemma":[0.00221348,0.0001518507,0.00008919635,0.00001304633,0.000006298722,0.00000155742,0.00002897932,0.9052806,0.09093096,0.001143589,0.00002844786,0.000112018],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1893747,0.00000260804,0.8080691,0.0003050831,0.0001782534,0.0001829681,0.000002073247,0.00008545677,0.001799768],"genre_scores_gemma":[0.929721,7.85598e-7,0.06924432,0.0008291856,0.0001376638,0.00001642766,0.000004833349,0.000009316717,0.00003644516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7403464,"threshold_uncertainty_score":0.4285592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02117750090435988,"score_gpt":0.2947614081073455,"score_spread":0.2735839072029856,"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."}}