{"id":"W241313105","doi":"","title":"A mega-event inside the Great Wall of China: expectations and possible impacts of the Beijing 2008 Olympic Games","year":2009,"lang":"en","type":"article","venue":"Journal of tourism","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Olympiad; Beijing; China; Political science; Ambush marketing; Tourism; Surprise; Economic impact analysis; Economy; History; Advertising; Sociology; Economics; Business; Law","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":[0.0007437678,0.0004928103,0.0002185398,0.0007180476,0.001969008,0.003486109,0.0005186499,0.001000665,0.006333277],"category_scores_gemma":[0.001069628,0.0002044814,0.0003522193,0.001084816,0.001284071,0.001583383,0.001730771,0.001496774,0.0004795874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005596611,"about_ca_system_score_gemma":0.002360978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05582345,"about_ca_topic_score_gemma":0.08363942,"domain_scores_codex":[0.9995983,0.00008313025,0.00001851928,0.00005616207,0.0001207254,0.0001232091],"domain_scores_gemma":[0.9992843,0.00005897311,0.0001355666,0.00001548905,0.0001537937,0.0003518477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005669593,0.0004870595,0.4241241,0.001921689,0.0002072399,0.006681079,0.0896714,0.004332809,0.002961156,0.06411579,0.2406473,0.1642835],"study_design_scores_gemma":[0.00001879401,0.0003547381,0.6557749,0.0009066713,0.00007698457,0.0005527599,0.1171703,0.002246794,0.0006201238,0.005387413,0.2167209,0.000169661],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8414026,0.01093712,0.0004496161,0.0535124,0.00151796,0.00007677536,0.001239364,0.0000635859,0.0908004],"genre_scores_gemma":[0.9759507,0.006088753,0.0001502587,0.002395562,0.0003722764,0.00004378904,0.0006526046,0.00001858728,0.01432741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05582345,"threshold_uncertainty_score":0.110997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01501503806476073,"score_gpt":0.2958277689794316,"score_spread":0.2808127309146708,"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."}}