{"id":"W4387637997","doi":"10.14246/irspsd.11.4_205","title":"Tourism Economic Impact Assessment","year":2023,"lang":"en","type":"article","venue":"International Review for Spatial Planning and Sustainable Development","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"Liupanshui Normal University","keywords":"Tourism; Economic impact analysis; Computable general equilibrium; Regional science; Scopus; Confusion; Panorama; Economic evaluation; Environmental economics; Geography; Economics; Computer science; Political science; Macroeconomics","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":[0.004915203,0.0009621777,0.0009399452,0.0229143,0.0006750466,0.002698752,0.0009550528,0.0004184872,0.01926102],"category_scores_gemma":[0.01246518,0.0001938299,0.002108777,0.02209062,0.0003624062,0.001939805,0.001759779,0.0007829078,0.002225153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002828417,"about_ca_system_score_gemma":0.003543916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01294932,"about_ca_topic_score_gemma":0.01775286,"domain_scores_codex":[0.9954737,0.00093034,0.0006637544,0.0002099638,0.002506244,0.0002160873],"domain_scores_gemma":[0.99279,0.001870668,0.0007422778,0.0002504827,0.004126355,0.0002201496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002766564,0.0002332518,0.07470074,0.02308113,0.001920443,0.0004858807,0.0009268612,0.01061295,0.0008403083,0.02413557,0.09035357,0.7724327],"study_design_scores_gemma":[0.00006311692,0.0006495055,0.3151503,0.01374711,0.001763515,0.0008698794,0.01146179,0.01374267,0.002223758,0.02354521,0.6165788,0.0002043658],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1243246,0.06096443,0.04222244,0.004429055,0.00126066,0.007904531,0.1605604,0.0006373769,0.5976965],"genre_scores_gemma":[0.7529775,0.08867484,0.05088323,0.000750032,0.0003908103,0.004611052,0.06192274,0.000183331,0.03960655],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0229143,"threshold_uncertainty_score":0.06443459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03363555012933544,"score_gpt":0.4228790170089917,"score_spread":0.3892434668796562,"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."}}