{"id":"W2128372129","doi":"10.1111/test.12081","title":"Teaching note – was the champions league draw rigged?","year":2015,"lang":"en","type":"article","venue":"Teaching Statistics","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"League; Football; Quarter (Canadian coin); Mathematics education; League table; Outcome (game theory); Bayesian probability; Econometrics; Political science; Psychology; Mathematics; Mathematical economics; Economics; Geography; Statistics; Classical economics; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002343176,0.0001913941,0.0003209726,0.0001223956,0.0006329768,0.0001839149,0.0003742506,0.00007600035,0.0001384126],"category_scores_gemma":[0.0005642921,0.0001633444,0.0000691584,0.00008230196,0.00009423973,0.0001663384,0.00009245152,0.0008285566,0.0006046389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001247816,"about_ca_system_score_gemma":0.00005023094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003472153,"about_ca_topic_score_gemma":0.0002028114,"domain_scores_codex":[0.9986001,0.00003805369,0.000575829,0.0003177631,0.00009455287,0.0003736933],"domain_scores_gemma":[0.9987873,0.0001679736,0.0003357822,0.0005221706,0.00003707799,0.0001496938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004981441,0.00006318769,0.00970251,0.00001236567,0.00002975432,0.000008897267,0.004564056,0.001186311,0.000001446991,0.9512005,0.02799492,0.005231115],"study_design_scores_gemma":[0.0003985086,0.00008410833,0.00595116,0.00002000531,0.00001962728,0.00001390325,0.0003473759,0.1330855,0.000002445033,0.1066367,0.7530637,0.0003769532],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06921358,0.001148434,0.7782822,0.004033532,0.002435669,0.0003548971,0.001404713,0.0001895292,0.1429375],"genre_scores_gemma":[0.9781603,0.00004910884,0.01213437,0.0007989026,0.0004705203,0.000008994742,0.00008081647,0.00004163415,0.008255416],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9089467,"threshold_uncertainty_score":0.7771612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05291685714128161,"score_gpt":0.2791572510894334,"score_spread":0.2262403939481518,"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."}}