{"id":"W203308056","doi":"10.1007/978-3-642-56046-0_21","title":"Construction of Equidistributed Generators Based on Linear Recurrences Modulo 2","year":2002,"lang":"en","type":"book-chapter","venue":"","topic":"Mathematical Approximation and Integration","field":"Mathematics","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Equidistributed sequence; Modulo; Mathematics; Point (geometry); Simple (philosophy); Algorithm; Software; Discrete mathematics; Computer science; Geometry; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001976687,0.0003020733,0.0004969963,0.0001699821,0.00004530963,0.00001887059,0.0001335,0.000356529,0.0130552],"category_scores_gemma":[0.0003164448,0.0002280658,0.0001942133,0.00005074047,0.0001254056,0.00004963407,0.00001635346,0.000247862,0.0001563752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005751445,"about_ca_system_score_gemma":0.00004194474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001262885,"about_ca_topic_score_gemma":0.000001648902,"domain_scores_codex":[0.9983364,0.00002577838,0.0007519962,0.0002679664,0.0004930501,0.0001247585],"domain_scores_gemma":[0.9985008,0.0002596783,0.0005040673,0.0003742829,0.0002910662,0.00007013821],"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":[0.000009703089,0.00006526637,4.426276e-7,0.0002302196,0.00002311842,4.981068e-7,0.00001732129,0.000003929381,0.00001149097,0.98858,0.008578533,0.002479409],"study_design_scores_gemma":[0.0002490373,0.0001906006,1.316678e-7,0.0004215034,0.00005818354,0.000002617359,0.00001335089,0.1045459,0.004184342,0.8788686,0.01117761,0.0002880682],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.0001320226,0.00001349957,0.09985991,0.0001936372,0.0001955941,0.0004235661,0.0001661576,0.0001307408,0.8988849],"genre_scores_gemma":[0.00398577,0.0001329555,0.6288684,0.000272902,0.0004648396,0.0000553914,0.0007347852,0.0001474219,0.3653376],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5335473,"threshold_uncertainty_score":0.987847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09525843643708354,"score_gpt":0.2982920499256407,"score_spread":0.2030336134885571,"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."}}