{"id":"W2161705746","doi":"10.1109/ccece.1993.332218","title":"Results from statistical analysis of popular pseudorandom number generators for simulation","year":2002,"lang":"en","type":"article","venue":"","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Random variate; Pseudorandom number generator; Random number generation; Computer science; Heuristic; Statistical hypothesis testing; Null (SQL); Statistics; Sample (material); Statistical analysis; Null hypothesis; Algorithm; Mathematics; Artificial intelligence; Random variable; Data mining","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":[0.0002417201,0.0001055741,0.0002580752,0.0001475107,0.00005061128,0.00006270425,0.0002371316,0.00005290817,0.0003348641],"category_scores_gemma":[0.0002834321,0.00009476647,0.0001300614,0.000749014,0.00002586525,0.0002902369,0.00003949034,0.00004396362,0.00004110733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003828006,"about_ca_system_score_gemma":0.00001056256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002577398,"about_ca_topic_score_gemma":0.00004345785,"domain_scores_codex":[0.998666,0.00007381752,0.0004364669,0.0003708032,0.0002969423,0.0001559277],"domain_scores_gemma":[0.9986363,0.0005779075,0.0001340162,0.0004156915,0.0001623093,0.00007377489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004640323,0.00052083,0.003608831,0.00002474002,0.001111902,0.00001590888,0.00142128,0.8613259,0.006749226,0.05128273,0.009880699,0.06359395],"study_design_scores_gemma":[0.001451599,0.00003394798,0.001326082,0.000002716627,0.0001849204,1.54509e-7,0.000005257286,0.9922916,0.002010247,0.00229798,0.0002807787,0.0001146728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06303632,0.0000146255,0.935951,0.0001702603,0.00008568578,0.0001502387,0.000220864,0.00006771387,0.0003033182],"genre_scores_gemma":[0.7307147,0.000001955171,0.2689267,0.00009686232,0.00003778268,0.000005433271,0.000128747,0.000004867587,0.00008296451],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6676784,"threshold_uncertainty_score":0.3864464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03404955447379007,"score_gpt":0.2916320831010158,"score_spread":0.2575825286272257,"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."}}