{"id":"W3002385984","doi":"10.1017/s1744137420000545","title":"Who are the champions? Inequality, economic freedom and the Olympics","year":2020,"lang":"en","type":"article","venue":"Journal of Institutional Economics","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"The King's University","funders":"Universität Hohenheim","keywords":"Inequality; Incentive; Medal; Income distribution; Distribution (mathematics); Economic inequality; Income inequality metrics; Economics; Economic freedom; Athletes; Affect (linguistics); Public economics; Development economics; Political science; Demographic economics; Sociology; Microeconomics; Market economy; Geography","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":[0.002365415,0.0001007508,0.0003057692,0.0000304737,0.0008910815,0.000179595,0.0004639725,0.00007813779,0.00006833115],"category_scores_gemma":[0.0006057477,0.00006082008,0.0001695299,0.00005491725,0.001305593,0.0004882663,0.00009567037,0.0002824457,0.00002215597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002538682,"about_ca_system_score_gemma":0.0008554558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005127419,"about_ca_topic_score_gemma":0.001041402,"domain_scores_codex":[0.998745,0.0002506408,0.0005935525,0.0001110317,0.0001370454,0.0001626956],"domain_scores_gemma":[0.9985939,0.0004095123,0.0006290878,0.000114023,0.0001070469,0.0001464793],"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":[0.0001269845,0.00001494055,0.006331973,0.000006427905,0.00005952497,0.000001773404,0.004510032,0.003168879,6.240918e-7,0.982856,0.002294034,0.0006287872],"study_design_scores_gemma":[0.004235292,0.0001170898,0.02548665,0.00006566433,0.00008861563,0.00006396989,0.0130288,0.007918913,0.00001689364,0.09083919,0.8577629,0.0003760076],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8081332,0.0008442835,0.0006035637,0.1626341,0.002017477,0.0002181871,0.00008139214,0.0000121179,0.02545565],"genre_scores_gemma":[0.987016,0.002665155,0.0001037685,0.007097449,0.003056836,0.000002010152,0.000001336577,0.000005083783,0.00005238918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8920168,"threshold_uncertainty_score":0.6853569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05056543871502334,"score_gpt":0.2894702794901623,"score_spread":0.238904840775139,"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."}}