{"id":"W2372036245","doi":"","title":"A Poisson Distribution Based Simulation for World Cup of Soccer in South Africa","year":2010,"lang":"en","type":"article","venue":"System Simulation Technology","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Champion; Poisson distribution; Ranking (information retrieval); Distribution (mathematics); Poisson regression; Quarter (Canadian coin); Computer science; Statistics; Mathematics; Simulation; Operations research; Geography; Artificial intelligence; Demography; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001493175,0.0004693837,0.00056837,0.0007422433,0.0005818082,0.0005796915,0.0009880305,0.001048373,0.003511367],"category_scores_gemma":[0.005712132,0.0003022614,0.0006411585,0.0009376495,0.0005077542,0.0007377891,0.0007008326,0.0008848622,0.0002128504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001227054,"about_ca_system_score_gemma":0.0009921272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05243072,"about_ca_topic_score_gemma":0.02256995,"domain_scores_codex":[0.9995145,0.0002435998,0.00002287094,0.00007207089,0.00005778321,0.00008925203],"domain_scores_gemma":[0.9961783,0.003015686,0.0001810001,0.0001212493,0.0003699669,0.0001339494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001274526,0.00009845656,0.00945549,0.00003378894,0.00003252325,0.0001896067,0.0001404211,0.9759372,0.0002767079,0.009100331,0.001145902,0.003462088],"study_design_scores_gemma":[0.00003148007,0.00002749398,0.001480015,0.000005365248,0.000007436985,0.00001560389,0.00007767393,0.996353,0.0001323232,0.00155081,0.0003104173,0.000008328821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9484767,0.0002548612,0.04239367,0.0008520433,0.00006971426,0.00011846,0.001517319,0.0002056027,0.006111463],"genre_scores_gemma":[0.9899158,0.0001153389,0.007888391,0.00004258338,0.000008430949,0.00008193347,0.0006399771,0.00001910537,0.001288567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05243072,"threshold_uncertainty_score":0.1042511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02655241375379287,"score_gpt":0.2468464635571693,"score_spread":0.2202940498033764,"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."}}