{"id":"W7006615723","doi":"","title":"Tourism and Economic Growth in South Asian Countries: Asymmetric Analysis and Lessons for Mitigating the Adverse Effects of Covid-19 Pandemic","year":2022,"lang":"en","type":"other","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Context (archaeology); China; Pandemic; Earnings; Quarter (Canadian coin); Economic recovery; Domestic tourism","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001300206,0.0003138653,0.0006905997,0.003230675,0.001084376,0.00006267372,0.001196373,0.0002206865,0.0005725681],"category_scores_gemma":[0.001361108,0.0003272472,0.0003069194,0.001472903,0.001688632,0.0001546715,0.001022788,0.0006683843,0.000003111411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008271114,"about_ca_system_score_gemma":0.001281411,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04901228,"about_ca_topic_score_gemma":0.07658649,"domain_scores_codex":[0.9966642,0.001207055,0.0002377208,0.0007258641,0.000561444,0.0006036837],"domain_scores_gemma":[0.9951128,0.003569474,0.0004496933,0.0004308245,0.0000519853,0.0003852754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009995077,0.0004223114,0.3977194,0.002615273,0.009481876,0.002084252,0.3413646,0.0001281342,0.00001590817,0.2032133,0.03559685,0.006358543],"study_design_scores_gemma":[0.004302052,0.0003074387,0.01091447,0.0002250188,0.001977014,0.000005481957,0.2188893,0.0008188081,0.00000290657,0.001819461,0.7597198,0.001018201],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05218334,0.003582581,0.0004404131,0.005337463,0.0002522065,0.00435458,0.002942074,0.0002481371,0.9306592],"genre_scores_gemma":[0.7156516,0.01613937,0.001797573,0.00029386,0.0003426248,0.00004905381,0.0002354394,0.0002924612,0.265198],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7241229,"threshold_uncertainty_score":0.999918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.019928852101745,"score_gpt":0.2879888909053295,"score_spread":0.2680600388035845,"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."}}