{"id":"W3001259882","doi":"10.5430/ijba.v11n1p11","title":"Key Elements of Sports Marketing Activities for Sports Events","year":2020,"lang":"en","type":"article","venue":"International Journal of Business Administration","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sports marketing; Sport management; Marketing; Business; Entertainment; Digital marketing; Product (mathematics); Service (business); Marketing mix; Advertising; Marketing management; Public relations; Relationship marketing; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001211132,0.0004761284,0.0001618455,0.001892694,0.002013033,0.004517696,0.0005885687,0.0008568272,0.04108856],"category_scores_gemma":[0.002647192,0.0002767301,0.0003680505,0.001759682,0.001231284,0.002843281,0.002056518,0.0007978137,0.006004014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001649227,"about_ca_system_score_gemma":0.002275127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001944258,"about_ca_topic_score_gemma":0.004167976,"domain_scores_codex":[0.9983091,0.0005008649,0.0001340234,0.0001744221,0.0006340366,0.0002475138],"domain_scores_gemma":[0.9978822,0.0005671131,0.0003904473,0.0001437608,0.0004575192,0.0005589502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003772705,0.001211806,0.08503092,0.002763929,0.00008246521,0.0009359395,0.02278865,0.001059156,0.01087999,0.243235,0.02246538,0.6091696],"study_design_scores_gemma":[0.0000364492,0.000398645,0.2080946,0.001537737,0.0000798343,0.000825253,0.02136515,0.001344584,0.003371442,0.03820403,0.7246654,0.00007693347],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1415882,0.00147394,0.02182916,0.003661138,0.0001879037,0.001893953,0.001145105,0.0003658578,0.8278547],"genre_scores_gemma":[0.8144203,0.002547849,0.05564729,0.0005156604,0.0001749619,0.001254209,0.001211427,0.0001233936,0.1241049],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04108856,"threshold_uncertainty_score":0.1374549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03934213228457361,"score_gpt":0.3430027704859114,"score_spread":0.3036606382013378,"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."}}