{"id":"W4280612044","doi":"10.1177/13548166221098320","title":"Stronger together: International tourists “spillover” into close countries","year":2022,"lang":"en","type":"article","venue":"Tourism Economics","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Spillover effect; Tourism; Contiguity; Economic geography; Distance decay; Spatial econometrics; Lag; Geographical distance; Geography; Spatial analysis; Econometrics; Economics; Computer science; Sociology; 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":[0.0006692956,0.000244573,0.0003716275,0.001575436,0.0006660316,0.001729304,0.0002554201,0.0003383012,0.009754428],"category_scores_gemma":[0.004555502,0.0001632982,0.0006349074,0.002094398,0.000927555,0.001507045,0.003104607,0.0006592473,0.0005773594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000686989,"about_ca_system_score_gemma":0.0004797943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01394953,"about_ca_topic_score_gemma":0.02139501,"domain_scores_codex":[0.9994819,0.0001645739,0.00003256759,0.0001097166,0.00009242848,0.0001189048],"domain_scores_gemma":[0.9971727,0.0009317114,0.001055423,0.0002774828,0.0002643828,0.0002982676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002231659,0.0001503681,0.9172184,0.0003473967,0.0006446224,0.001120628,0.007571451,0.004197419,0.001070012,0.01424025,0.004003577,0.04921266],"study_design_scores_gemma":[0.0000122836,0.0001120481,0.9741634,0.000153339,0.0002529425,0.0002851513,0.0110409,0.001389577,0.0003720269,0.003260354,0.008930827,0.00002721274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9644625,0.000853859,0.002569744,0.0007320594,0.00004307644,0.00003571585,0.0006849437,0.00003676072,0.03058138],"genre_scores_gemma":[0.9977837,0.0003895368,0.0003985509,0.00007355833,0.00002449613,0.0000103116,0.000216906,0.000004502673,0.001098451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01394953,"threshold_uncertainty_score":0.03263175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01433078047097585,"score_gpt":0.2965236667913987,"score_spread":0.2821928863204229,"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."}}