{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004850543,0.0005807703,0.0007688404,0.0006055327,0.0005641709,0.001051457,0.001449243,0.001632362,0.008437142],"category_scores_gemma":[0.002859437,0.0003259708,0.0006217263,0.0004863006,0.0004873124,0.0007102956,0.000714007,0.001313581,0.0006370591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001000325,"about_ca_system_score_gemma":0.001199261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1230638,"about_ca_topic_score_gemma":0.07543863,"domain_scores_codex":[0.9998112,0.00005971898,0.0000067506,0.00003552711,0.00002286211,0.00006386597],"domain_scores_gemma":[0.9987357,0.000655181,0.0001018737,0.00006182653,0.0002270883,0.0002183597],"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":[0.00008247377,0.00006820351,0.004579223,0.00001892889,0.00002480465,0.0001010472,0.0000325022,0.9850856,0.0001660194,0.00431524,0.003734615,0.001791388],"study_design_scores_gemma":[0.000008831491,0.000008150171,0.0008093057,0.000004083338,0.000003901859,0.000007261393,0.00002636026,0.9975278,0.0000429677,0.001180718,0.0003764359,0.000004239857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8828413,0.001148617,0.05411406,0.003876195,0.0004256853,0.00008610571,0.007087597,0.0007364458,0.04968389],"genre_scores_gemma":[0.9881163,0.000115861,0.002957433,0.00009527228,0.00002894967,0.00005815242,0.001493253,0.000037697,0.007097132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1230638,"threshold_uncertainty_score":0.2446949,"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."}}