{"id":"W7087757873","doi":"10.1080/17430437.2025.2560171","title":"The 2020 EventRights Mobility Project: investigating Atlanta’s compliance with FIFA’s human rights bidding requirement in planning and designing security and safety measures for the 2026 FIFA Men’s World Cup","year":2025,"lang":"en","type":"article","venue":"Sport in Society","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Compliance (psychology); Bidding; Human rights; Human resources; Human resource management","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":[0.00555286,0.0002536347,0.0001956738,0.0006096488,0.003927313,0.004874599,0.001155203,0.001165587,0.001110058],"category_scores_gemma":[0.006795556,0.0003182707,0.0001956305,0.0008075155,0.002703586,0.000868283,0.002218266,0.00169628,0.000279845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01157933,"about_ca_system_score_gemma":0.01688034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3474455,"about_ca_topic_score_gemma":0.6394474,"domain_scores_codex":[0.9969866,0.001359299,0.00007410627,0.0002538618,0.0005417433,0.0007844598],"domain_scores_gemma":[0.9934383,0.001749034,0.00127464,0.0004779229,0.001548538,0.001511556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006695529,0.002609945,0.4803112,0.0003752443,0.0001661901,0.00453082,0.3472608,0.004756504,0.008147986,0.02949876,0.04551482,0.07615811],"study_design_scores_gemma":[0.00003386711,0.0005720741,0.5572817,0.0001501727,0.00003754236,0.00008506772,0.3933503,0.001332147,0.001229875,0.0007212189,0.0451421,0.00006387912],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825469,0.00004709664,0.0004619952,0.001757472,0.00002754287,0.0001445563,0.0001566235,0.00001219179,0.01484562],"genre_scores_gemma":[0.9939492,0.0000900414,0.0007090537,0.0005285253,0.000007787958,0.0001950653,0.0002544895,0.00001031235,0.004255501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3474455,"threshold_uncertainty_score":0.6908462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06572853028044842,"score_gpt":0.3690089455912093,"score_spread":0.3032804153107609,"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."}}