{"id":"W2006801970","doi":"10.1016/j.sbspro.2014.07.305","title":"Evaluating Tourism's Economic Effects: Comparison of Different Approaches","year":2014,"lang":"en","type":"article","venue":"Procedia - Social and Behavioral Sciences","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computable general equilibrium; Tourism; Economic impact analysis; Estimation; Economics; Economic model; Macroeconomics; Geography; Microeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00361832,0.001323355,0.001659788,0.009819632,0.0004884714,0.002801694,0.001630457,0.001261134,0.003293128],"category_scores_gemma":[0.007300801,0.0005058551,0.003078612,0.00698861,0.0007945384,0.002606307,0.002392337,0.0009556946,0.0003211786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002769694,"about_ca_system_score_gemma":0.001670847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01622591,"about_ca_topic_score_gemma":0.01717461,"domain_scores_codex":[0.9973475,0.001247989,0.0001486722,0.0001730306,0.0008858616,0.0001970195],"domain_scores_gemma":[0.997207,0.00175348,0.0001896666,0.0001376498,0.0005929735,0.000119363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002041475,0.000799594,0.09087262,0.006722657,0.0038527,0.0005856112,0.001455427,0.408453,0.002171148,0.0431704,0.00413186,0.4357435],"study_design_scores_gemma":[0.0002192339,0.002073092,0.1630541,0.003291738,0.002777702,0.0007720755,0.01142145,0.7253748,0.005312122,0.05920983,0.02602541,0.0004685055],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.6525263,0.04786908,0.1989345,0.002072517,0.0004669923,0.001283574,0.003945059,0.0006528016,0.0922492],"genre_scores_gemma":[0.9026963,0.01502761,0.07733557,0.0001492738,0.00007500475,0.0003488446,0.001135324,0.0001181825,0.003113858],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01622591,"threshold_uncertainty_score":0.03226292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3237818078422309,"score_gpt":0.4703183703861598,"score_spread":0.1465365625439288,"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."}}