{"id":"W2902082626","doi":"10.18192/osurj.v1i1.3702","title":"Expressing the randomity of events – An analysis of random number generation with given distributions","year":2018,"lang":"en","type":"article","venue":"University of Ottawa Science Undergraduate Research Journal","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Inverse distribution; Monte Carlo method; Computer science; Computation; Probability distribution; Simple (philosophy); Point (geometry); Algorithm; Mathematics; Statistics; Heavy-tailed distribution","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.03553019,0.001153673,0.001708881,0.002850719,0.0008676655,0.004278233,0.003129696,0.002200038,0.004041817],"category_scores_gemma":[0.1365105,0.0008265253,0.001698767,0.002195792,0.006099524,0.00779706,0.002586415,0.003273127,0.0007623207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002346881,"about_ca_system_score_gemma":0.001540656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001227163,"about_ca_topic_score_gemma":0.000652992,"domain_scores_codex":[0.9789488,0.01466806,0.0008224323,0.00190948,0.003167395,0.0004839157],"domain_scores_gemma":[0.8420463,0.1404537,0.007027867,0.007335217,0.002629014,0.0005078948],"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":[0.00002842351,0.00002201658,0.001431934,0.0001237615,0.00005199904,0.0001076851,0.0003066798,0.09686004,0.0004178262,0.8845767,0.0004111296,0.01566191],"study_design_scores_gemma":[0.00001646501,0.00005243089,0.0004504721,0.00008960784,0.00002523047,0.0001919575,0.00008823349,0.4451727,0.0005676091,0.5513178,0.001993486,0.00003403138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003821696,0.0001483491,0.9944901,0.0002617273,0.00001560571,0.00006192892,0.00003199499,0.00005809511,0.001110466],"genre_scores_gemma":[0.3629843,0.001286392,0.630254,0.0004406279,0.0001843767,0.00110497,0.0002646414,0.0002305598,0.00325019],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03553019,"threshold_uncertainty_score":0.1879039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1013771250898417,"score_gpt":0.4117766050021003,"score_spread":0.3103994799122586,"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."}}