{"id":"W4412785372","doi":"10.1038/s41598-025-13135-8","title":"Raw QPP-RNG randomness via system jitter across platforms: a NIST SP 800-90B evaluation","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quantropi (Canada)","funders":"","keywords":"NIST; Computer science; Jitter; Random number generation; Randomness; Parallel computing; Algorithm; Entropy (arrow of time); Computer hardware; Mathematics; Statistics; Physics","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.009902994,0.0002958435,0.0003883417,0.0003763951,0.001064955,0.002111001,0.0007743705,0.0001309471,0.00004577918],"category_scores_gemma":[0.0003054462,0.000261865,0.0002180587,0.001956025,0.0002845488,0.001588417,0.0004452755,0.0002196371,0.0001554033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006090446,"about_ca_system_score_gemma":0.0006227939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007815693,"about_ca_topic_score_gemma":0.0000442858,"domain_scores_codex":[0.9947498,0.0001369578,0.001060208,0.00160397,0.001779225,0.0006698034],"domain_scores_gemma":[0.9960434,0.0001157078,0.0005938033,0.002242687,0.0008487443,0.0001556823],"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":[0.0005439005,0.001122641,0.009887099,0.002457879,0.0004724909,0.004579797,0.01444134,0.02495867,0.4571253,0.01878321,0.1019047,0.363723],"study_design_scores_gemma":[0.004704836,0.00007838818,0.004089801,0.00113048,0.0001503098,0.001447938,0.0006547142,0.7758385,0.1540259,0.04137129,0.01529892,0.001208968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2945962,0.0001871971,0.6793379,0.0002885175,0.02068635,0.001242777,0.000002021584,0.0004556585,0.003203491],"genre_scores_gemma":[0.9945984,6.736285e-7,0.002453937,0.0001309539,0.0001133276,0.0001717509,0.00005445564,0.00001554748,0.002460978],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7508798,"threshold_uncertainty_score":0.9999834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01411849888577638,"score_gpt":0.2899561085963258,"score_spread":0.2758376097105494,"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."}}