{"id":"W4285087066","doi":"10.1371/journal.pone.0270546","title":"Cultural similarity and impartiality on voting bias: The case of FIFA’s World’s Best Male Football Player Award","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Impartiality; Voting; Football; Similarity (geometry); League; Nationality; Ethnic group; Political science; Social psychology; Psychology; Law; Politics; Computer science; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000656478,0.000105,0.0002975473,0.00009260473,0.0003227144,0.00004703361,0.0001369516,0.00002457233,0.0009874508],"category_scores_gemma":[0.00005670203,0.00009124109,0.00006712942,0.0002070615,0.00005697723,0.00008574995,0.0001363155,0.0002401397,0.00002190469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005961,"about_ca_system_score_gemma":0.00001112702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001515237,"about_ca_topic_score_gemma":0.0007284008,"domain_scores_codex":[0.999077,0.00001575672,0.0004141824,0.0002414579,0.00005836296,0.0001932757],"domain_scores_gemma":[0.9993116,0.00006471371,0.0002952918,0.0002485216,0.00002866727,0.0000511526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008656238,0.001618623,0.9378322,0.0001506336,0.0003527191,0.0001226414,0.001718844,0.001979426,0.00005334409,0.05395029,0.001648864,0.0004858618],"study_design_scores_gemma":[0.003695087,0.001657215,0.2556513,0.0002408241,0.0004615662,0.000374444,0.004166121,0.6584858,0.002986473,0.006019471,0.06413303,0.002128603],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936006,0.0005050718,0.000006695796,0.00114671,0.00007824061,0.0001509779,0.0003229152,0.000008962341,0.004179838],"genre_scores_gemma":[0.9976825,0.00008867719,0.0000578472,0.000308093,0.00008454707,0.00002076138,0.00001222724,0.00001076718,0.001734653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6821809,"threshold_uncertainty_score":0.9999258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1728366363476242,"score_gpt":0.2552697534922108,"score_spread":0.08243311714458657,"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."}}