{"id":"W2766332505","doi":"10.1108/ijsms-05-2016-0025","title":"Stakeholder influence strategies in China: the case of Beijing’s MasterCard Center","year":2017,"lang":"en","type":"article","venue":"International Journal of Sports Marketing and Sponsorship","topic":"Nonprofit Sector and Volunteering","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Beijing; Stakeholder; Business; Originality; China; Marketing; Basketball; Stakeholder analysis; Entertainment; Public relations; Advertising; Political science; Geography","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":[0.006863846,0.00007601589,0.0001425047,0.0001195234,0.000250192,0.0002729546,0.000438672,0.00004527586,0.00005463844],"category_scores_gemma":[0.001557898,0.00005597997,0.00005930327,0.00003398451,0.000264288,0.0004560568,0.0000615898,0.0002219675,2.145236e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004219199,"about_ca_system_score_gemma":0.0001040614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001370958,"about_ca_topic_score_gemma":0.0009651572,"domain_scores_codex":[0.9987665,0.0002616491,0.0003692732,0.00008870243,0.0003660558,0.0001478138],"domain_scores_gemma":[0.9987135,0.0003394297,0.0005542353,0.00011334,0.0002252214,0.00005426554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005563409,0.000027909,0.9826207,0.0000141654,0.00003030021,0.002193625,0.005343372,0.0000504415,0.00009551239,0.002198742,0.00001775192,0.006851162],"study_design_scores_gemma":[0.0002968319,0.0000121239,0.9913794,0.0004048322,0.000007408853,0.0005925789,0.005922745,0.00001742728,0.00001716792,0.0005672651,0.0007208466,0.00006140958],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935656,0.0001025966,0.000009407673,0.0009484889,0.0005874246,0.00005033655,0.000003706664,0.000003638044,0.004728765],"genre_scores_gemma":[0.9993014,0.0001677068,0.00008524582,0.00002324017,0.0002353253,6.74485e-7,1.928279e-7,0.00000567724,0.00018059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008758686,"threshold_uncertainty_score":0.2632107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03390835979751696,"score_gpt":0.3256375050449898,"score_spread":0.2917291452474729,"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."}}