{"id":"W2996896799","doi":"","title":"Modeling and Simulation of UEFA Champions League.","year":2019,"lang":"en","type":"article","venue":"Machine Learning and Data Mining in Pattern Recognition","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"League; Computer science; Simulation; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0006537585,0.0000788683,0.0001999635,0.0001844314,0.00004402515,0.00003332,0.00006366093,0.0000499868,0.0001612795],"category_scores_gemma":[0.00008082066,0.00008962248,0.00001306559,0.0000815376,0.00001358249,0.0002382636,0.00008966293,0.0001456808,0.0000238513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006761059,"about_ca_system_score_gemma":0.000003168289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007548327,"about_ca_topic_score_gemma":0.000091988,"domain_scores_codex":[0.999216,0.00001217818,0.0003407555,0.0002978363,0.000025195,0.0001079886],"domain_scores_gemma":[0.999591,0.00006200525,0.0001526211,0.0001560948,0.00001364816,0.00002461904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007667662,0.00001651744,0.8966777,0.00005691426,0.000008269471,6.028105e-7,0.0003755628,0.05401213,0.000004301708,0.00001488452,0.000001977825,0.04882351],"study_design_scores_gemma":[0.0003483802,0.0000455478,0.02594818,0.00008968469,0.000004203378,0.000001906361,0.000117351,0.9725876,0.000001122908,0.0002013971,0.0005431619,0.0001113928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987474,0.0006677082,0.01088939,0.00006226827,0.00007326656,0.00006592652,0.0001801872,0.00001050142,0.0005767719],"genre_scores_gemma":[0.9982669,0.0005171063,0.0003037124,0.00003803052,0.00002922477,0.000001567581,0.0007592241,0.00001146841,0.00007275445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9185755,"threshold_uncertainty_score":0.3654699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07126864950501116,"score_gpt":0.2783102117365679,"score_spread":0.2070415622315568,"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."}}