{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001648878,0.000555156,0.0005701198,0.0008551262,0.0003968214,0.000978902,0.0009432569,0.000487321,0.005017332],"category_scores_gemma":[0.005662372,0.0003175884,0.0005198712,0.0006238522,0.001096546,0.003543128,0.0009455983,0.0007349201,0.001786582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005374188,"about_ca_system_score_gemma":0.0003922393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001521518,"about_ca_topic_score_gemma":0.0002722265,"domain_scores_codex":[0.9986733,0.0005774265,0.0001002113,0.0001781139,0.0002865379,0.0001843795],"domain_scores_gemma":[0.9977354,0.001333753,0.0002972263,0.0004271267,0.000148619,0.00005786918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005774242,0.0001160789,0.001357044,0.0001814994,0.00003783128,0.0004593568,0.0004615447,0.04338798,0.02935065,0.7651371,0.002186424,0.1567471],"study_design_scores_gemma":[0.0004532587,0.001056865,0.0007530436,0.0002026025,0.0000756649,0.001498263,0.0001501136,0.3535773,0.1048279,0.4940317,0.04317001,0.0002032735],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09213138,0.0004543585,0.8940157,0.0003026126,0.0001072248,0.0002380987,0.0001040015,0.001555418,0.01109124],"genre_scores_gemma":[0.6756056,0.000379783,0.3152743,0.0001564797,0.0001339007,0.0003656035,0.0002246833,0.0002625427,0.007597033],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005017332,"threshold_uncertainty_score":0.01678467,"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."}}