{"id":"W6999870150","doi":"","title":"Efficient Monte Carlo random sample generation through discretization","year":2009,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Mathematical Approximation and Integration","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Standard deviation; Histogram; Structural equation modeling; Distribution (mathematics); Discretization; Probability distribution","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002409084,0.0006614736,0.001199393,0.001048385,0.0007688364,0.001794868,0.002081673,0.001229191,0.0203695],"category_scores_gemma":[0.01408527,0.0007615337,0.0009401414,0.001427961,0.0007020761,0.001523397,0.00201852,0.0018784,0.005200563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001369714,"about_ca_system_score_gemma":0.002012555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005723546,"about_ca_topic_score_gemma":0.008655345,"domain_scores_codex":[0.9983494,0.0007039181,0.00007918882,0.00022767,0.0005020669,0.0001377849],"domain_scores_gemma":[0.9946056,0.003309316,0.0001470021,0.0009180162,0.000856371,0.0001636403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003574682,0.0001201516,0.002088645,0.0002937703,0.00007732177,0.0001566564,0.0002026597,0.6168065,0.00300339,0.11783,0.02305003,0.2360134],"study_design_scores_gemma":[0.00003104326,0.00001167376,0.0001013299,0.0000212245,0.000006171608,0.00002555486,0.00001613688,0.9716923,0.0007476297,0.02329645,0.004042292,0.000008246294],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004681684,0.000323536,0.982514,0.0001948064,0.0001095703,0.000130715,0.0003119904,0.002370276,0.009363449],"genre_scores_gemma":[0.1198384,0.0002455268,0.8677461,0.0001970273,0.00005764728,0.0004320384,0.001386676,0.001099651,0.008996991],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0203695,"threshold_uncertainty_score":0.06814277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03543606533308828,"score_gpt":0.2575176412860817,"score_spread":0.2220815759529934,"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."}}