{"id":"W4386751795","doi":"10.47413/vidya.v2i2.235","title":"A REVIEW OF COVID 19’s EFFECT ON HOSPITALITY AND TOURISM SECTORS IN INDIA DURING PANDEMIC PERIOD","year":2023,"lang":"en","type":"review","venue":"VIDYA - A JOURNAL OF GUJARAT UNIVERSITY","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Hospitality; Hospitality industry; Pandemic; Business; Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Earnings; Economic sector; Economic growth; Geography; Economy; Economics; Finance; Infectious disease (medical specialty); Disease; Medicine","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":[0.002984459,0.0004028667,0.003297932,0.001543192,0.0000975592,0.00002623112,0.0005578533,0.0003601524,0.00008825016],"category_scores_gemma":[0.001951021,0.0004025226,0.0007372652,0.0009886668,0.0001121089,0.0002652426,0.0002120531,0.0009986743,0.00003866092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001824823,"about_ca_system_score_gemma":0.0005546911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002040972,"about_ca_topic_score_gemma":0.00001342299,"domain_scores_codex":[0.997383,0.0003101952,0.001424909,0.0004364027,0.0001079314,0.0003375363],"domain_scores_gemma":[0.9956945,0.0005886572,0.002952618,0.0003856508,0.00004320608,0.0003354141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005542175,0.0004334564,0.09053472,0.8247041,0.00253067,0.004484283,0.002779109,0.00001987017,0.000002616224,0.003717608,0.005255881,0.06498348],"study_design_scores_gemma":[0.002442636,0.0008401006,0.01257241,0.1100136,0.0004665087,0.0003626946,0.0001013676,0.000002882296,6.240962e-7,0.000460567,0.8719617,0.0007749144],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03466498,0.9637059,0.00001282852,0.0000854634,0.0002646079,0.0006103886,0.0002651795,0.0000173091,0.0003733106],"genre_scores_gemma":[0.003887617,0.995678,0.00001122812,0.0001452593,0.00008403351,0.000001029078,0.00000659132,0.00003407738,0.0001521845],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8667058,"threshold_uncertainty_score":0.9998426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06047953898121667,"score_gpt":0.3016088811754548,"score_spread":0.2411293421942381,"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."}}