{"id":"W2804552755","doi":"10.1108/ijsms-05-2016-0018","title":"Sponsorship antecedents and outcomes in participant sport settings","year":2018,"lang":"en","type":"article","venue":"International Journal of Sports Marketing and Sponsorship","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Goodwill; Psychology; Recall; Originality; Value (mathematics); Perception; Social psychology; Scale (ratio); Marketing; Event (particle physics); Path analysis (statistics); Applied psychology; Advertising; Business; Accounting; Geography; Cognitive 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004431288,0.0002343942,0.0002477194,0.0008266112,0.001422443,0.001582183,0.0003989374,0.0005916458,0.007059773],"category_scores_gemma":[0.02168279,0.0002261964,0.000287786,0.0005620666,0.000909033,0.0008152716,0.001481658,0.0008758444,0.0003245766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000594964,"about_ca_system_score_gemma":0.00134608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002932459,"about_ca_topic_score_gemma":0.005138712,"domain_scores_codex":[0.9974113,0.001527482,0.0001692237,0.0002777338,0.0003483585,0.000265887],"domain_scores_gemma":[0.9766732,0.01027729,0.00666853,0.00113557,0.001292645,0.003952773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000171287,0.001278513,0.9871661,0.00005008838,0.00003974356,0.0001031012,0.003526088,0.00008441471,0.0001675531,0.0004585758,0.0001776956,0.006776712],"study_design_scores_gemma":[0.00002543443,0.0006331,0.9818897,0.0000820869,0.00003741911,0.0001788938,0.01431825,0.000455543,0.0002183769,0.001031065,0.001116274,0.00001363915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997645,0.00006925486,0.0002037104,0.0001386729,0.000009402223,0.00004176764,0.00004633717,0.000003768013,0.001842033],"genre_scores_gemma":[0.9993963,0.00004822851,0.0002155727,0.0000204767,0.000005456291,0.00003763042,0.00003930006,0.000001596846,0.0002354292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007059773,"threshold_uncertainty_score":0.02361733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0301763114603344,"score_gpt":0.2866473493736014,"score_spread":0.256471037913267,"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."}}