{"id":"W4282939709","doi":"10.12982/cmujasr.2022.002","title":"Vietnam's Tourism Industry and COVID-19: An Analysis of the Industry’s Challenges in the First Quarter of 2020","year":2022,"lang":"en","type":"article","venue":"ASR Chiang Mai University Journal of Social Sciences and Humanities","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Government (linguistics); Coronavirus disease 2019 (COVID-19); Economic growth; Business; Quarter (Canadian coin); Order (exchange); Economic recovery; Politics; Political science; Development economics; Geography; Economics; Finance; Disease","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004733424,0.0001813363,0.0001530178,0.001479796,0.001129871,0.002613429,0.0002827796,0.0004368126,0.004432191],"category_scores_gemma":[0.001038853,0.0001129258,0.0002621213,0.002292685,0.0004227023,0.001127614,0.001245194,0.0006896221,0.0004912925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00317009,"about_ca_system_score_gemma":0.004120733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1125414,"about_ca_topic_score_gemma":0.1563919,"domain_scores_codex":[0.9996418,0.00006372842,0.00001798693,0.00002108344,0.00008094394,0.0001745044],"domain_scores_gemma":[0.9988415,0.0001290435,0.0003080012,0.00001092504,0.0002913028,0.0004192985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001007483,0.000138759,0.9484885,0.0003566281,0.00004369173,0.002809859,0.01221021,0.0007972256,0.0002901987,0.003943611,0.01229434,0.01852634],"study_design_scores_gemma":[0.000001759345,0.00008286521,0.8449936,0.0002263607,0.00000744414,0.0002763367,0.1335491,0.0007482697,0.00007886667,0.0003030829,0.01971796,0.00001423234],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727505,0.001550235,0.00009702302,0.004212164,0.000062741,0.00007204997,0.003014222,0.000006144964,0.018235],"genre_scores_gemma":[0.9943398,0.001106478,0.00007513009,0.0001848554,0.00002296048,0.00002859522,0.001457471,0.000003661829,0.002781044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1125414,"threshold_uncertainty_score":0.2237728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0763814990113368,"score_gpt":0.3109544083299889,"score_spread":0.2345729093186521,"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."}}