{"id":"W1987642825","doi":"10.1177/0047287506286718","title":"Toward a Destination Visitor Attendance Estimation Model: Whistler, British Columbia, Canada","year":2006,"lang":"en","type":"article","venue":"Journal of Travel Research","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Industry, Tourism and Investment; Simon Fraser University","funders":"","keywords":"Visitor pattern; Attendance; Destinations; Tourism; Credibility; Audit; Estimation; Geography; Marketing; Advertising; Business; Computer science; Political science; Economics; Accounting; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002460224,0.0007925708,0.0007478519,0.0009999622,0.001062541,0.001779944,0.002374599,0.0007569178,0.003407904],"category_scores_gemma":[0.004419358,0.0004273498,0.0004797011,0.00210959,0.0006978186,0.0004574951,0.000853874,0.001226686,0.0004773374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01135082,"about_ca_system_score_gemma":0.01275451,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9621974,"about_ca_topic_score_gemma":0.9544005,"domain_scores_codex":[0.9992939,0.0002469297,0.00002260967,0.0001527706,0.0001053961,0.0001783116],"domain_scores_gemma":[0.9984272,0.0005864392,0.0001538782,0.0000693874,0.0006414736,0.0001216644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004706738,0.0002788002,0.09996957,0.0001288026,0.0001941002,0.000286162,0.0008311278,0.8258808,0.0006567847,0.01716503,0.01005052,0.04408763],"study_design_scores_gemma":[0.00005493137,0.00005405726,0.02778793,0.00005217674,0.0000569746,0.00002070231,0.0005890242,0.9665744,0.000129531,0.001978752,0.002658575,0.00004297905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8771088,0.0004281959,0.1035267,0.001718595,0.0000364628,0.0004551033,0.005707937,0.0005918392,0.01042638],"genre_scores_gemma":[0.9576367,0.0004022078,0.02174975,0.0001064883,0.00001315834,0.0001955146,0.003056906,0.00005838582,0.01678091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03780264,"threshold_uncertainty_score":0.08235639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08416041505582168,"score_gpt":0.3750129302716245,"score_spread":0.2908525152158028,"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."}}