{"id":"W1588759684","doi":"10.1002/9780470061602.eqf13003","title":"Pseudorandom Number Generators","year":2010,"lang":"en","type":"other","venue":"Encyclopedia of Quantitative Finance","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Pseudorandom number generator; Random number generation; Computer science; Emphasis (telecommunications); Quality (philosophy); Nonlinear system; Computer engineering; Algorithm; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003162377,0.0004524129,0.0006680244,0.0002692789,0.00005823629,0.00004436796,0.001216155,0.0003648298,0.0008032534],"category_scores_gemma":[0.0002453859,0.0004400348,0.0001912615,0.0006552647,0.0002564176,0.000328924,0.000196087,0.0005536969,0.0009955553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003433763,"about_ca_system_score_gemma":0.00028506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002508024,"about_ca_topic_score_gemma":0.0001624187,"domain_scores_codex":[0.9977095,0.0001445779,0.0004879924,0.0007690724,0.0005081572,0.0003806625],"domain_scores_gemma":[0.9977674,0.000243193,0.0007882764,0.0009545643,0.0001679752,0.00007856575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003440025,0.0001913113,0.0002804873,0.0002220205,0.00006996188,0.00006109998,0.0006455795,0.00002552249,0.0008205654,0.1988347,0.7826896,0.01612466],"study_design_scores_gemma":[0.0008536507,0.00011414,0.0002662422,0.0002741496,0.00002113877,0.000008128563,0.000008415099,0.000830818,0.001157671,0.003117639,0.9927274,0.0006206322],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.0006039013,0.00171028,0.3025395,0.0001431602,0.002378459,0.0004629004,0.0001007416,0.0002923453,0.6917687],"genre_scores_gemma":[0.0006668263,0.004606869,0.6111148,0.0001605314,0.000520258,0.00009814145,0.00003864854,0.0003786468,0.3824153],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3093534,"threshold_uncertainty_score":0.9998052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01124418341172302,"score_gpt":0.2707664559241234,"score_spread":0.2595222725124004,"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."}}