{"id":"W4386299478","doi":"10.57017/jaes.v17.1(75).05","title":"Asymmetric Analysis of Tourism and Economic Growth in South Asian Countries: Lessons for Policymakers towards Mitigating the Adverse Effects of Covid-19","year":2022,"lang":"en","type":"article","venue":"Journal of Applied Economic Sciences (JAES)","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Context (archaeology); Coronavirus disease 2019 (COVID-19); Economics; Development economics; China; Earnings; Quarter (Canadian coin); Panel data; Geography","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":[0.007089777,0.0001351086,0.000607476,0.001932832,0.0008088266,0.0001004524,0.001185842,0.0000575731,0.0001292748],"category_scores_gemma":[0.0005714459,0.000117487,0.0002796987,0.001297319,0.001376962,0.0003110597,0.0002360634,0.0002389934,0.0000019579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009487255,"about_ca_system_score_gemma":0.002682199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006285681,"about_ca_topic_score_gemma":0.001208785,"domain_scores_codex":[0.9977976,0.0001930648,0.000731883,0.0003059262,0.0005272234,0.0004442866],"domain_scores_gemma":[0.9966695,0.001602922,0.00127523,0.0001545461,0.00005487049,0.0002429381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008975493,0.0003067381,0.06208728,0.000373647,0.00261685,0.00006150312,0.1771201,0.2089726,0.0002031453,0.5333818,0.004850088,0.009128712],"study_design_scores_gemma":[0.009650417,0.001929027,0.07973981,0.00008563426,0.001981502,0.00001471514,0.8187819,0.01758807,0.002599727,0.05393368,0.01243699,0.00125854],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780545,0.000147637,0.00005118225,0.007049352,0.0002908594,0.0005484481,0.0001038227,0.000006071438,0.01374818],"genre_scores_gemma":[0.998978,0.0001424506,0.0004704954,0.0002106813,0.0001398947,0.00002283838,8.526991e-7,0.00000774576,0.00002704204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6416618,"threshold_uncertainty_score":0.9502112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02739054598265969,"score_gpt":0.3405581164801723,"score_spread":0.3131675704975126,"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."}}