{"id":"W3036735394","doi":"10.1007/s11205-020-02410-y","title":"The Political Economy of Football: Democracy, Income Inequality, and Men’s National Football Performance","year":2020,"lang":"en","type":"article","venue":"Social Indicators Research","topic":"Sports, Gender, and Society","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Ministry of Science and Technology, Taiwan","keywords":"Football; Inequality; Democracy; Economic inequality; Human geography; Politics; Quality of Life Research; Economics; Political science; Political economy; Sociology; Public health; Medicine; Economic geography; Law","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":[0.00144871,0.0001344166,0.0001647532,0.001046092,0.0008807652,0.001397463,0.0002437608,0.0003928476,0.005024767],"category_scores_gemma":[0.004805985,0.00008977765,0.0002011303,0.001343494,0.000897421,0.0006668688,0.001098005,0.0007595128,0.0002741197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008674039,"about_ca_system_score_gemma":0.000950677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02259956,"about_ca_topic_score_gemma":0.04291487,"domain_scores_codex":[0.9990624,0.000436895,0.00003736891,0.00006275722,0.0001172621,0.0002832743],"domain_scores_gemma":[0.9960555,0.001014119,0.001594871,0.00012437,0.0003132642,0.0008979386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001068231,0.0001711335,0.9852051,0.00001559406,0.00005608926,0.00002734599,0.0009548718,0.0002721836,0.00008405995,0.003585966,0.001014058,0.008506956],"study_design_scores_gemma":[0.000004573774,0.00003981572,0.9949809,0.00001768081,0.00001341725,0.00001530814,0.00219162,0.0004003632,0.00007389521,0.0009639895,0.001294846,0.000003585168],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825983,0.0003440881,0.0001579174,0.002651774,0.00003030169,0.000006196373,0.0002710759,0.00000349595,0.01393686],"genre_scores_gemma":[0.99919,0.00007587059,0.00001725886,0.00005051796,0.0000234246,0.000002780752,0.00006610543,7.374529e-7,0.0005731786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02259956,"threshold_uncertainty_score":0.04493606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1323592104130422,"score_gpt":0.4274684081900034,"score_spread":0.2951091977769612,"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."}}