{"id":"W3199181100","doi":"10.1080/13683500.2021.1972944","title":"Influence of COVID-19 pandemic on the tourism sector: evidence from China and United States stocks","year":2021,"lang":"en","type":"article","venue":"Current Issues in Tourism","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; China; Volatility (finance); Quarter (Canadian coin); Business; Spillover effect; Pandemic; Coronavirus disease 2019 (COVID-19); Economics; Economic sector; Financial economics; Monetary economics; Economy; Geography; Macroeconomics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009515709,0.0002522818,0.0005166274,0.000334678,0.0001012936,0.00007250443,0.0004279374,0.0001394859,0.0002845574],"category_scores_gemma":[0.004733342,0.0002331322,0.00007483619,0.0006129544,0.0001778955,0.00024749,0.0002379476,0.000560038,0.00004953026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003016722,"about_ca_system_score_gemma":0.000135678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005792514,"about_ca_topic_score_gemma":0.0002110921,"domain_scores_codex":[0.9980549,0.000147384,0.000737776,0.0005836886,0.0001162703,0.0003600133],"domain_scores_gemma":[0.9970075,0.001655301,0.0004261872,0.0006782936,0.00004883794,0.0001838629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008583948,0.0002178218,0.9353868,0.0002869416,0.00007380326,0.00006301527,0.01983649,0.02116657,0.0001443548,0.004575398,0.01648539,0.001677522],"study_design_scores_gemma":[0.001828059,0.0001943795,0.5159039,0.001331181,0.00003193913,0.00001541465,0.0006635766,0.008693162,0.0007919025,0.1719383,0.2976718,0.0009363273],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9611241,0.03320349,0.000370289,0.004242582,0.0003347829,0.0002797588,0.0002733397,0.00004260102,0.0001290438],"genre_scores_gemma":[0.9815146,0.01693148,0.00005940764,0.0009948813,0.0001562703,0.00002638029,0.00005166948,0.00002300374,0.0002423642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4194829,"threshold_uncertainty_score":0.9506856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09217153884568335,"score_gpt":0.3338187133978059,"score_spread":0.2416471745521225,"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."}}