{"id":"W2491010267","doi":"10.5772/36834","title":"A Ranking for the Vancouver 2010 Winter Olympic Games Based on a Hyerarchcical Copeland Method","year":2012,"lang":"en","type":"book-chapter","venue":"InTech eBooks","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro","keywords":"Ranking (information retrieval); Operations research; Geography; Computer science; Artificial intelligence; Mathematics","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":[0.001723563,0.0006527102,0.0005387987,0.007510599,0.0009943343,0.002959612,0.0006906948,0.000467699,0.0284589],"category_scores_gemma":[0.007325895,0.0002231541,0.0006542067,0.006803281,0.0006525997,0.0006746838,0.0007216274,0.0006579298,0.003596843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002030513,"about_ca_system_score_gemma":0.002995195,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05349517,"about_ca_topic_score_gemma":0.09562555,"domain_scores_codex":[0.9974744,0.0008220412,0.0002802083,0.0003570561,0.0008205664,0.0002456302],"domain_scores_gemma":[0.9976401,0.0009819622,0.0001301843,0.0002017236,0.0009463913,0.0000995963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001130359,0.0004003631,0.07308032,0.001894521,0.0003313975,0.0004839952,0.002120083,0.01030657,0.004380502,0.04466669,0.09673496,0.7644703],"study_design_scores_gemma":[0.0006539461,0.0009289605,0.2386973,0.001717382,0.00046385,0.001226169,0.0145286,0.2262424,0.01043469,0.04636369,0.4583688,0.0003741657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2835566,0.003336415,0.4466711,0.00150294,0.0009580688,0.004215555,0.06372601,0.003664332,0.1923691],"genre_scores_gemma":[0.4316195,0.0006921704,0.5053342,0.00009910355,0.00008643453,0.001690324,0.03302217,0.0003192071,0.02713696],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9465048,"threshold_uncertainty_score":0.1063676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04873255977995291,"score_gpt":0.2558825705269124,"score_spread":0.2071500107469595,"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."}}