{"id":"W2068225437","doi":"10.1080/14775085.2010.533918","title":"Attracting and Leveraging Visitors at a Charity Cycling Event","year":2010,"lang":"en","type":"article","venue":"Journal of Sport & Tourism","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Waterloo","funders":"","keywords":"Tourism; Event (particle physics); Marketing; Advertising; Identity (music); Cycling; Word of mouth; Social identity theory; Psychology; Business; Social psychology; Political science; Geography; Social group","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":[0.0009263142,0.0002571057,0.0002125709,0.0009012355,0.001126665,0.002022649,0.0004278396,0.000531534,0.004578797],"category_scores_gemma":[0.003236417,0.0001637132,0.0003375731,0.0003669369,0.0002782023,0.0005236217,0.001267153,0.0004579801,0.0007098418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002358336,"about_ca_system_score_gemma":0.0004573983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001236551,"about_ca_topic_score_gemma":0.004655764,"domain_scores_codex":[0.9994904,0.0001980401,0.00002131667,0.0000418214,0.0001127935,0.0001355516],"domain_scores_gemma":[0.9981596,0.0005110339,0.0002933815,0.0000882391,0.0001682427,0.0007795161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005881908,0.001974264,0.7667093,0.0003665664,0.0001699531,0.001711544,0.01354161,0.0004581748,0.01263209,0.001013607,0.002934763,0.1979001],"study_design_scores_gemma":[0.00004339964,0.002049347,0.9373242,0.0001684391,0.0002318037,0.001781347,0.03546774,0.002284915,0.002943298,0.0009775285,0.0166434,0.00008457798],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931337,0.00004874243,0.0004137512,0.0001131765,0.00001160977,0.00006123322,0.00002336182,0.00002370305,0.006170821],"genre_scores_gemma":[0.9954473,0.0001160404,0.001646445,0.00005354111,0.00001988771,0.00004487657,0.00006310717,0.000009105169,0.002599677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004578797,"threshold_uncertainty_score":0.01531762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02162010021567523,"score_gpt":0.3208426718405595,"score_spread":0.2992225716248843,"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."}}