{"id":"W4413567133","doi":"10.64628/aam.s7d5jvysp","title":"SARS didn’t prepare the hospitality industry for the prolonged impact of COVID-19","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Global Healthcare and Medical Tourism","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Hospitality; 2019-20 coronavirus outbreak; Hospitality industry; Business; Virology; Medicine; Geography; Tourism; Internal medicine; Outbreak; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003576085,0.0005795161,0.0004326006,0.0009906731,0.003889526,0.008186612,0.0006376481,0.004371923,0.08706471],"category_scores_gemma":[0.01327166,0.000323136,0.0007846551,0.001071589,0.00150403,0.004108795,0.002243948,0.005532171,0.01772946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005133636,"about_ca_system_score_gemma":0.008222745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02579716,"about_ca_topic_score_gemma":0.03997579,"domain_scores_codex":[0.997699,0.000410259,0.0001079437,0.0002149936,0.0008717313,0.0006961232],"domain_scores_gemma":[0.9930269,0.0009476707,0.0002945739,0.0006461634,0.003587981,0.00149669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002552076,0.0002279253,0.00918103,0.0004170281,0.00009391677,0.0005940013,0.002856103,0.0004206835,0.00097583,0.1502438,0.7550364,0.07969801],"study_design_scores_gemma":[0.0000403796,0.0001499403,0.01556114,0.0003946186,0.00003163848,0.0003146619,0.008210037,0.0006660164,0.0009558344,0.01379693,0.9598223,0.00005638985],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.05416564,0.001998297,0.002204389,0.2328985,0.02983543,0.00013223,0.002847283,0.0003624852,0.6755558],"genre_scores_gemma":[0.2761943,0.001774121,0.002611389,0.03244729,0.003993569,0.00008357545,0.002125502,0.0005549666,0.6802152],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.08706471,"threshold_uncertainty_score":0.2912605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.251400641708837,"score_gpt":0.5632580673077876,"score_spread":0.3118574255989506,"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."}}