{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002232627,0.0001103998,0.0002605285,0.0001241638,0.0005231771,0.00007704665,0.0001713463,0.0001237138,0.0002422747],"category_scores_gemma":[0.0001216309,0.0000977196,0.0001336909,0.0001164552,0.00008270258,0.0005309361,0.00004370207,0.000614404,0.000005625235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009627693,"about_ca_system_score_gemma":0.0002025676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006641406,"about_ca_topic_score_gemma":0.0003251316,"domain_scores_codex":[0.9985304,0.00001044466,0.0004369932,0.0001221647,0.0005624181,0.0003375597],"domain_scores_gemma":[0.9987068,0.0000410432,0.0006472172,0.00009397694,0.0001281515,0.000382881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007238064,0.0001428157,0.9555365,0.0000185766,0.00006180286,0.0007653901,0.01561084,0.00001348916,0.008389395,0.001015709,0.002349757,0.01602339],"study_design_scores_gemma":[0.0005635247,0.00005426823,0.562179,0.0001219272,0.00008591417,0.0002814409,0.001455192,0.00001188174,0.00143586,0.0005930337,0.4329837,0.0002343222],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928886,0.0001865342,0.00001598251,0.00157732,0.002224801,0.00007424614,3.471051e-7,0.00001682669,0.00301538],"genre_scores_gemma":[0.9949673,0.0001655797,0.0005557454,0.000119304,0.002891493,4.247459e-7,5.01119e-7,0.00001131029,0.001288368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4306339,"threshold_uncertainty_score":0.4023908,"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."}}