{"id":"W4230934750","doi":"10.1109/wsc.2005.1574244","title":"Fast Random Number Generators Based on Linear Recurrences Modulo 2: Overview and Comparison","year":2006,"lang":"en","type":"article","venue":"Proceedings of the Winter Simulation Conference, 2005.","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Universität Salzburg; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Modulo; Random number generation; Computer science; Arithmetic; Mathematics; Algorithm; Discrete mathematics","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":[0.002839258,0.0006703802,0.001175925,0.002919487,0.0002956816,0.001198841,0.0008083947,0.0007015166,0.003286408],"category_scores_gemma":[0.006949802,0.0003217321,0.0006564795,0.001767048,0.0005956741,0.002672602,0.000708526,0.0006451725,0.0008214661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005945168,"about_ca_system_score_gemma":0.0006650872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000239717,"about_ca_topic_score_gemma":0.0002230254,"domain_scores_codex":[0.9986051,0.0004912704,0.0001302199,0.0001837747,0.0004966626,0.00009300603],"domain_scores_gemma":[0.9948584,0.003550996,0.0003405432,0.0006278853,0.0005320917,0.00009009249],"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":[0.0009067658,0.000172148,0.002498345,0.0007760995,0.0001356701,0.0002182064,0.00020425,0.1148603,0.01173074,0.2526035,0.003464736,0.6124293],"study_design_scores_gemma":[0.0004027415,0.001620805,0.003050025,0.0002547951,0.0001281706,0.002530698,0.0000900581,0.7266068,0.02345129,0.1822478,0.0594019,0.0002149621],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07811944,0.0284771,0.8673836,0.0005644923,0.0003826867,0.0004410233,0.000262047,0.001882897,0.02248676],"genre_scores_gemma":[0.5469847,0.01644277,0.4277647,0.0002575871,0.000677857,0.0004685892,0.0007479653,0.0003230543,0.006332758],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003286408,"threshold_uncertainty_score":0.0150156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02726333452544341,"score_gpt":0.2819794442282443,"score_spread":0.2547161097028009,"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."}}