{"id":"W2100419312","doi":"10.1177/155862351100600205","title":"The Hope Statistic as an Alternative Measure of Competitive Balance","year":2011,"lang":"en","type":"article","venue":"International Journal of Sport Finance","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Nipissing University; Toronto Metropolitan University","funders":"","keywords":"Extant taxon; League; Proxy (statistics); Statistic; Balance (ability); Economics; Measure (data warehouse); Psychology; Computer science; Statistics; Mathematics","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":[0.0006914313,0.0001142053,0.0003116326,0.0001367906,0.00005870794,0.00003516752,0.0007566867,0.00003768362,0.0002774877],"category_scores_gemma":[0.00005201171,0.00009440093,0.0001162221,0.000102581,0.0001477758,0.0003825346,0.00003668348,0.000186349,0.00004244957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006368533,"about_ca_system_score_gemma":0.00007132572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003468707,"about_ca_topic_score_gemma":0.00004243643,"domain_scores_codex":[0.9986032,0.000003415875,0.0009093769,0.000153982,0.0001804299,0.0001496157],"domain_scores_gemma":[0.9973436,0.00002305449,0.001765941,0.0001825871,0.0006342279,0.00005057108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000218344,0.0001315963,0.1689523,0.000003523249,0.0001511765,0.00009790979,0.0008427679,0.0001967291,0.000004647683,0.8270742,0.0001978267,0.002128996],"study_design_scores_gemma":[0.001176854,0.0005962883,0.7383096,0.0002049681,0.00001914035,0.000182951,0.0003268265,0.004122786,0.0008701409,0.1090953,0.1447671,0.0003280178],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9615493,0.001882487,0.003058623,0.0002999477,0.002254087,0.00009568973,0.0001579932,0.000005064309,0.03069676],"genre_scores_gemma":[0.9957011,0.002437762,0.0009273125,0.0001214797,0.0002197625,0.000002179369,0.000005234408,0.00001238762,0.0005728202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7179789,"threshold_uncertainty_score":0.3849558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03369705834753196,"score_gpt":0.245259201310763,"score_spread":0.211562142963231,"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."}}