{"id":"W2778313148","doi":"10.1177/1078087416684036","title":"Public Opinion in Olympic Cities: From Bidding to Retrospection","year":2016,"lang":"en","type":"article","venue":"Urban Affairs Review","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Public opinion; Bidding; Political science; Public relations; Perspective (graphical); Opinion poll; Business; Law; Politics; Marketing; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02798008,0.0002434781,0.0005217422,0.004412276,0.0009076279,0.003895282,0.0007418607,0.00118209,0.0009871027],"category_scores_gemma":[0.0811389,0.0003547778,0.0003495829,0.006360963,0.002188095,0.003467435,0.001744466,0.001287967,0.0002897838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002647179,"about_ca_system_score_gemma":0.002661366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007605636,"about_ca_topic_score_gemma":0.01380942,"domain_scores_codex":[0.9742417,0.01904359,0.002239572,0.0006496458,0.003085765,0.0007395798],"domain_scores_gemma":[0.8649072,0.09546958,0.01642632,0.001805388,0.02037118,0.001020211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000719446,0.0002288368,0.1540642,0.02337155,0.0004585436,0.001805146,0.2115213,0.0006012016,0.001056986,0.02008451,0.07600404,0.5100842],"study_design_scores_gemma":[0.00003998712,0.000747103,0.2346915,0.02167724,0.0003238866,0.001778027,0.3223144,0.0005684337,0.001748234,0.005154593,0.4107951,0.0001614254],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5191066,0.3587465,0.002544344,0.05447364,0.001862639,0.0003895143,0.002266051,0.00003633429,0.06057443],"genre_scores_gemma":[0.8687198,0.1172769,0.0008789527,0.008861671,0.001044098,0.000237083,0.0007350042,0.00002462718,0.002221778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02798008,"threshold_uncertainty_score":0.1479746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09316974327458791,"score_gpt":0.3315750486602045,"score_spread":0.2384053053856166,"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."}}