{"id":"W2163523712","doi":"10.1108/ijcthr-04-2013-0020","title":"Visitor composition and event-related spending","year":2013,"lang":"en","type":"article","venue":"International Journal of Culture Tourism and Hospitality Research","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Visitor pattern; Hospitality; Athletes; Marketing; Value (mathematics); Event (particle physics); Tourism; Business; Market segmentation; Consumer spending; Service (business); Event study; Private sector; Advertising; Economics; Political science; Geography; Economic growth; Recession; Medicine","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":[0.0003333001,0.0001821947,0.0001615772,0.0009778725,0.0003705427,0.0008876417,0.0003488737,0.0001998377,0.0150838],"category_scores_gemma":[0.00249146,0.0001028209,0.000276638,0.001173868,0.0002267284,0.0004498799,0.0007447444,0.0003066024,0.001144504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003142162,"about_ca_system_score_gemma":0.0002189839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008965706,"about_ca_topic_score_gemma":0.02010624,"domain_scores_codex":[0.9996727,0.0001068308,0.00002936684,0.00005017052,0.00005796054,0.00008313113],"domain_scores_gemma":[0.9980558,0.0003290273,0.0008815092,0.0001111627,0.0001669116,0.0004556423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001809529,0.00006763264,0.9848454,0.00009071694,0.00006141448,0.00008818494,0.001034605,0.0001015683,0.0003094179,0.0001830641,0.0008018598,0.01223517],"study_design_scores_gemma":[0.000001550706,0.00004741937,0.9959213,0.00002426415,0.00001129041,0.0001351035,0.002282798,0.0000765427,0.00005181445,0.00003993424,0.001404114,0.00000377861],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900327,0.0002453352,0.0001892245,0.00008613947,0.000009625084,0.00002206131,0.001475985,0.00001791624,0.007921057],"genre_scores_gemma":[0.9946076,0.0002902219,0.000322141,0.00002035999,0.00001944261,0.00002333172,0.001909844,0.00001425912,0.002792725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0150838,"threshold_uncertainty_score":0.05046028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03232632223185957,"score_gpt":0.4102622182788246,"score_spread":0.3779358960469651,"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."}}