{"id":"W2626220413","doi":"","title":"Random Number Generators Based on Linear Recurrences in F 2 w","year":2003,"lang":"en","type":"article","venue":"Les Cahiers du GERAD","topic":"Cryptography and Residue Arithmetic","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Random number generation; Mathematics; Finite field; Computation; Integer (computer science); Pseudorandom number generator; Field (mathematics); Implementation; Discrete mathematics; Algorithm; Arithmetic; Computer science; Pure mathematics; Programming language","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":[0.0003898107,0.0001477485,0.0001706028,0.0001831036,0.0001665133,0.00007720415,0.000357891,0.0001121496,0.00004303475],"category_scores_gemma":[0.00009758284,0.0001222803,0.0001047297,0.0007983956,0.0001261164,0.0001218176,0.00001427114,0.0002714344,0.00004365652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003132897,"about_ca_system_score_gemma":0.00006147976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002830631,"about_ca_topic_score_gemma":0.0000215356,"domain_scores_codex":[0.9987077,0.0002465836,0.0001933148,0.0003466921,0.0002331382,0.0002725317],"domain_scores_gemma":[0.9992782,0.0002151824,0.00004924201,0.000340791,0.00002890353,0.00008771859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001156152,0.0006514465,0.1165084,0.0000484035,0.00004637336,0.0003401529,0.003545752,0.005910099,0.0002367356,0.8146292,0.003157339,0.05481054],"study_design_scores_gemma":[0.03804754,0.001286124,0.05194763,0.0004974327,0.00007926921,0.0002194184,0.0008431164,0.3446031,0.0546387,0.2023451,0.3001349,0.005357562],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7220837,0.0004098275,0.2620774,0.001409422,0.00129158,0.000301317,0.000003222845,0.0001798075,0.01224367],"genre_scores_gemma":[0.911923,0.00005205762,0.08710085,0.000780835,0.00005988307,0.00001982508,0.000001772948,0.00000812722,0.00005363789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.612284,"threshold_uncertainty_score":0.4986444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007120415479881766,"score_gpt":0.2163641202678856,"score_spread":0.2092437047880038,"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."}}