{"id":"W2169634760","doi":"10.1287/opre.48.2.308.12385","title":"Close-Point Spatial Tests and Their Application to Random Number Generators","year":2000,"lang":"en","type":"article","venue":"Operations Research","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Universität Salzburg","keywords":"Mathematics; Hypercube; Point process; Poisson point process; Torus; Poisson distribution; Square root; Unit square; Convergence (economics); Random number generation; Combinatorics; Transformation (genetics); Discrete mathematics; Statistics; Geometry","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":[0.02005742,0.0006536096,0.001414852,0.004540351,0.00100659,0.002074958,0.002524711,0.001671182,0.002923751],"category_scores_gemma":[0.1945934,0.000446343,0.0009867554,0.002566553,0.009868946,0.005023752,0.002752509,0.002105726,0.000314218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00123648,"about_ca_system_score_gemma":0.0007090383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009762932,"about_ca_topic_score_gemma":0.0004222238,"domain_scores_codex":[0.990617,0.006640451,0.0002822128,0.0009103433,0.001222078,0.0003278363],"domain_scores_gemma":[0.7116444,0.2628322,0.0110823,0.007618975,0.004274494,0.002547713],"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":[0.0002589713,0.00006742283,0.01406837,0.0001297833,0.0001347343,0.0005444866,0.0004543537,0.202445,0.00119394,0.7574267,0.0007607752,0.02251551],"study_design_scores_gemma":[0.0000566914,0.0001953086,0.00245475,0.0000367904,0.00002144404,0.0002947765,0.0001202884,0.6569586,0.001875614,0.3373492,0.0005753358,0.00006108466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2862021,0.0006944153,0.7063865,0.001021972,0.0001071974,0.0001394253,0.0002000998,0.0004667224,0.004781681],"genre_scores_gemma":[0.9499995,0.0002510813,0.04780852,0.0001401153,0.0001957973,0.0002235661,0.0002406283,0.0001079747,0.001032778],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02005742,"threshold_uncertainty_score":0.106075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02618264260879456,"score_gpt":0.3463407485235901,"score_spread":0.3201581059147955,"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."}}