{"id":"W3162312067","doi":"10.5430/jms.v12n2p1","title":"Impact of COVID-19 on Tourism Industry: Challenges and Opportunities","year":2021,"lang":"en","type":"article","venue":"Journal of Management and Strategy","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Office for Philosophy and Social Sciences","keywords":"Tourism; Originality; China; Coronavirus disease 2019 (COVID-19); Pandemic; Business; Value (mathematics); Tourism geography; Marketing; Economic growth; Political science; Economics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001976081,0.0002906698,0.0002781317,0.0009365638,0.003187135,0.003708741,0.0008374809,0.001128431,0.007346793],"category_scores_gemma":[0.00200989,0.0001531651,0.0003045512,0.001821639,0.002007233,0.002514231,0.003800172,0.001283815,0.0004692656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003562715,"about_ca_system_score_gemma":0.01142371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02592712,"about_ca_topic_score_gemma":0.0587181,"domain_scores_codex":[0.998478,0.0004748295,0.00006654367,0.00009791319,0.0002676242,0.0006150994],"domain_scores_gemma":[0.9980983,0.0003908036,0.0003660978,0.00007317773,0.0003872431,0.0006843013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000286374,0.0005404365,0.5790653,0.003990045,0.00008980239,0.009865144,0.05419941,0.001551064,0.003767524,0.03732133,0.04152222,0.2678013],"study_design_scores_gemma":[0.00001287395,0.0004508492,0.414064,0.002446127,0.0000391481,0.001598438,0.449423,0.002451656,0.0009395186,0.008969074,0.11951,0.00009534301],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8785059,0.01033989,0.001287513,0.04967733,0.0005350953,0.0002547484,0.000736867,0.00003698331,0.05862573],"genre_scores_gemma":[0.9867024,0.006427296,0.0008468753,0.002079965,0.0001074098,0.00007635718,0.0002606406,0.000006746133,0.003492416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02592712,"threshold_uncertainty_score":0.05155241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.203789132311748,"score_gpt":0.4050956795834652,"score_spread":0.2013065472717172,"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."}}