{"id":"W7117371342","doi":"10.1007/s10470-025-02542-6","title":"Chaos-based Pseudo Random Number Generators via quasi-synchronized Chua’s circuits: a symmetric encryption perspective","year":2025,"lang":"en","type":"article","venue":"Analog Integrated Circuits and Signal Processing","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Kungliga Tekniska Högskolan","keywords":"Randomness; Encryption; Cryptography; Random number generation; Pseudorandom number generator; Chaotic; Ideal (ethics); Keystream; Secure communication","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001062953,0.0006437587,0.0007556551,0.001175984,0.000787607,0.001001238,0.0007799002,0.0003277576,0.0001316713],"category_scores_gemma":[0.0002517676,0.0005770859,0.0002347819,0.004790552,0.0002688347,0.001400992,0.00009617709,0.0007740719,0.00004971524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000780109,"about_ca_system_score_gemma":0.001374545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006677202,"about_ca_topic_score_gemma":0.00004851381,"domain_scores_codex":[0.9959124,0.0004176363,0.0008115706,0.001382255,0.0006773091,0.0007988054],"domain_scores_gemma":[0.9972017,0.0003333425,0.0004021837,0.0004610346,0.001329109,0.0002725665],"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":[0.0001311095,0.0006965494,0.001340167,0.0003663589,0.000273927,0.000132358,0.001538023,0.0008530389,0.08982873,0.03799771,0.0005580031,0.866284],"study_design_scores_gemma":[0.006659134,0.0003664727,0.0009643935,0.0008876814,0.0002267007,0.000100344,0.0007378801,0.941116,0.02355561,0.02384438,0.0003622549,0.001179139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02520955,0.002583283,0.9654493,0.0006445932,0.0002624776,0.0005463665,0.00001143471,0.0004892902,0.00480375],"genre_scores_gemma":[0.9957609,0.00007309295,0.002199562,0.001484794,0.0001519836,0.00009861399,0.00004311054,0.00004065064,0.000147348],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9705513,"threshold_uncertainty_score":0.9996681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01103984640876064,"score_gpt":0.2555487985805909,"score_spread":0.2445089521718303,"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."}}