{"id":"W1510398510","doi":"10.2139/ssrn.1617251","title":"Examining Golfer Characteristics: A Framework for Understanding Visitors to a Destination","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Psychology; Tourism; Advertising; Business; Marketing; Geography","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":[0.001396044,0.0005588718,0.0004673759,0.005434319,0.002896753,0.005778734,0.001682938,0.001169076,0.00329157],"category_scores_gemma":[0.005524961,0.0002878815,0.0005668184,0.004222941,0.003173717,0.003840241,0.003481326,0.001062967,0.0002253871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002656172,"about_ca_system_score_gemma":0.00287241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03975529,"about_ca_topic_score_gemma":0.05346492,"domain_scores_codex":[0.9992383,0.000342822,0.00006227493,0.0000863114,0.0001199104,0.0001503781],"domain_scores_gemma":[0.9973888,0.001006918,0.000629187,0.000109904,0.0003964459,0.0004688598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001340916,0.0005102409,0.6992799,0.0003919988,0.0001120481,0.0008080486,0.1653501,0.002718837,0.002447187,0.06362862,0.00239867,0.06222026],"study_design_scores_gemma":[0.00001715069,0.0002544135,0.4373878,0.000271047,0.00009801798,0.0006766118,0.5020106,0.008464196,0.000666453,0.03286425,0.01719258,0.0000968947],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.937528,0.0004668153,0.02686693,0.00190829,0.00002655883,0.0002825142,0.0005473038,0.00006315803,0.03231055],"genre_scores_gemma":[0.9900249,0.0001488918,0.008684039,0.00004542868,0.000005628301,0.00009203199,0.0001472805,0.000007179681,0.0008445879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03975529,"threshold_uncertainty_score":0.07904774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05561967524130947,"score_gpt":0.3273640175992745,"score_spread":0.2717443423579651,"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."}}