{"id":"W3123940867","doi":"","title":"Picking Winners: Olympic Citizenship and the Global Race for Talent","year":2011,"lang":"en","type":"article","venue":"","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Citizenship; Political science; Politics; Law; Public relations","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":[0.002093829,0.0003421781,0.0003752357,0.001762848,0.006052354,0.008047244,0.0007346744,0.001706681,0.03201719],"category_scores_gemma":[0.004490411,0.0001483248,0.0003062089,0.002104157,0.006734096,0.003464839,0.00402147,0.002164572,0.0009825962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001981967,"about_ca_system_score_gemma":0.002190904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01378482,"about_ca_topic_score_gemma":0.04352778,"domain_scores_codex":[0.9986772,0.0005305757,0.00002528063,0.0001258813,0.0001563803,0.0004846489],"domain_scores_gemma":[0.9969147,0.0006238829,0.0004433303,0.0001414858,0.0003265722,0.001549965],"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":[0.0006048131,0.0008398888,0.2381509,0.0002678947,0.0001540059,0.0009071894,0.05181213,0.0008224077,0.0005712598,0.4197483,0.09171662,0.1944046],"study_design_scores_gemma":[0.00008793762,0.0002770287,0.458066,0.0005158131,0.0001335695,0.0003356561,0.222035,0.001147548,0.0003128336,0.1812246,0.1357451,0.0001189955],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6247355,0.004863904,0.0007650678,0.06923809,0.0008219721,0.0000279392,0.000174035,0.0000284329,0.299345],"genre_scores_gemma":[0.9915666,0.000638057,0.0001215375,0.00105409,0.0001931601,0.000009669295,0.00003989686,0.00001236073,0.006364529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03201719,"threshold_uncertainty_score":0.1071082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08265370093105477,"score_gpt":0.3244063485836743,"score_spread":0.2417526476526196,"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."}}