{"id":"W2081712500","doi":"10.1057/crr.2012.23","title":"Mega-event and Country Co-branding: Image Shifts, Transfers and Reputational Impacts","year":2013,"lang":"en","type":"article","venue":"Corporate Reputation Review","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Nipissing University; Carleton University","funders":"","keywords":"Mega-; Reputation; Beijing; Context (archaeology); China; Business; Corporate branding; Nation branding; Place branding; Event (particle physics); Stakeholder; Reputation management; Advertising; Marketing; Political science; Public relations; Brand management; Geography; International trade; Tourism; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001298322,0.0001799646,0.0003440832,0.00007873372,0.0003500237,0.0002330082,0.00008209351,0.00008292455,0.0008357273],"category_scores_gemma":[0.0003689655,0.0001600737,0.00006173109,0.0003650899,0.0002776713,0.001005754,0.00001179636,0.000114567,0.00004631448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000075175,"about_ca_system_score_gemma":0.0003066419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003185538,"about_ca_topic_score_gemma":0.00004244225,"domain_scores_codex":[0.998319,0.0001800586,0.0004505223,0.0003090064,0.0004360385,0.0003053524],"domain_scores_gemma":[0.9987787,0.0001229068,0.000366837,0.0001258152,0.0002202672,0.0003854881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001758475,0.0005631083,0.03295413,0.01372052,0.0005088237,0.0003417918,0.02405575,0.00002839008,0.004880232,0.2781183,0.1343496,0.5103036],"study_design_scores_gemma":[0.003246435,0.0004760961,0.1476151,0.007839674,0.0006726556,0.0002220786,0.002374448,0.0003061944,0.0003289293,0.03768192,0.7973283,0.001908169],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8821905,0.08374751,0.001136342,0.01142043,0.0003860237,0.00355517,0.0000510894,0.0002158777,0.01729703],"genre_scores_gemma":[0.8787095,0.1179169,0.000584537,0.001618756,0.00009820836,0.00008201963,0.0001718231,0.00002348837,0.0007947703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6629788,"threshold_uncertainty_score":0.9150628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04300607245483449,"score_gpt":0.3411880435187247,"score_spread":0.2981819710638902,"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."}}