{"id":"W4402326345","doi":"10.7302/23781","title":"Developing Human Rights Strategies for Large-Scale Sport Events: An Examination of the United Bid and Planning Phase of the 2026 FIFA World Cup","year":2024,"lang":"en","type":"article","venue":"Deep Blue (University of Michigan)","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Phase (matter); Business; Operations research; Geography; Engineering; Cartography; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004282004,0.00006723362,0.0001267121,0.0001603129,0.0005316455,0.00001341626,0.0002553476,0.00005069619,0.0000254339],"category_scores_gemma":[0.00000869472,0.00005464972,0.00006437573,0.0005502535,0.0001575289,0.000350682,0.00005087103,0.00007166823,2.54278e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002709137,"about_ca_system_score_gemma":0.000123258,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008179054,"about_ca_topic_score_gemma":0.1044441,"domain_scores_codex":[0.9994001,0.00004711417,0.000101933,0.000120055,0.000192777,0.0001380129],"domain_scores_gemma":[0.9995808,0.00003977317,0.0001348007,0.0001144452,0.00009090312,0.00003929314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006040011,0.0001883672,0.002144509,0.0001945187,0.00010642,0.000005770148,0.740157,0.00009877131,0.001938526,0.2539833,0.00005540246,0.001066986],"study_design_scores_gemma":[0.002274366,0.0001487815,0.128191,0.001131448,0.0003402335,0.000001999757,0.7396544,0.001822411,0.003797587,0.01023647,0.1120314,0.0003698996],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997748,0.00006350439,0.0008807246,0.0001283884,0.0001606675,0.0002371036,0.00002729224,0.00001775376,0.0007366079],"genre_scores_gemma":[0.9987282,0.000005027622,0.0002634856,0.00001241128,0.00003129525,2.106521e-7,0.00002679215,0.00000441837,0.0009281375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2437468,"threshold_uncertainty_score":0.9118975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04219237634738551,"score_gpt":0.3158109074920534,"score_spread":0.2736185311446679,"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."}}