{"id":"W2002221159","doi":"10.1108/02651331011058581","title":"China and the Olympics: views of insiders and outsiders","year":2010,"lang":"en","type":"article","venue":"International Marketing Review","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nipissing University; Carleton University","funders":"","keywords":"China; Beijing; Context (archaeology); Originality; Marketing; Advertising; Multivariate analysis of variance; Relevance (law); Value (mathematics); Event (particle physics); Political science; Psychology; Geography; Business; Social psychology","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":[0.004267579,0.00005870009,0.0001585453,0.00002565213,0.00009859185,0.00003259514,0.0001470869,0.00002780637,0.0002834476],"category_scores_gemma":[0.004554123,0.00003829952,0.00005023725,0.00006209716,0.0003407509,0.0001000619,0.00004592637,0.0001058982,0.000002365814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008095651,"about_ca_system_score_gemma":0.00004627614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005602192,"about_ca_topic_score_gemma":0.0005279307,"domain_scores_codex":[0.9992085,0.0001578104,0.0002128589,0.00009666212,0.0002329766,0.00009122792],"domain_scores_gemma":[0.9992687,0.0003646619,0.0001731857,0.0000805407,0.00006102559,0.00005185909],"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":[0.0001397283,0.00004852401,0.04650176,0.001056009,0.000140143,0.000005541747,0.007424172,2.124651e-7,0.0002061563,0.1998556,0.01228418,0.732338],"study_design_scores_gemma":[0.0003603487,0.00000403289,0.06256251,0.001358584,0.00003548474,0.000008425475,0.0001589064,0.000009787265,0.000006246149,0.001459075,0.9339615,0.0000751477],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6881674,0.06224752,0.000007182588,0.05849814,0.001223544,0.0006533759,0.000003899667,0.00002719219,0.1891717],"genre_scores_gemma":[0.899535,0.09806277,0.0001848793,0.001287366,0.0001324678,0.00000848006,0.000001598749,0.000004464166,0.0007829957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9216773,"threshold_uncertainty_score":0.5452039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01796085037408119,"score_gpt":0.3368246771901239,"score_spread":0.3188638268160428,"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."}}