{"id":"W4390106796","doi":"10.1177/00252921231200209","title":"A Systemic Analysis of the Impact of the Pandemic on the Indian Tourism Economy","year":2023,"lang":"en","type":"article","venue":"Margin The Journal of Applied Economic Research","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Pandemic; Economic impact analysis; Quarter (Canadian coin); Destinations; Estimation; Hospitality; Economy; Earnings; Coronavirus disease 2019 (COVID-19); Economic sector; Economic recovery; Business; Development economics; Geography; Economic growth; Economics; Finance; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009105509,0.0004079136,0.0002979579,0.001591934,0.0006603364,0.00274983,0.0003577239,0.0005178297,0.00209431],"category_scores_gemma":[0.00237006,0.0002397321,0.0007697252,0.003082946,0.001348216,0.001627487,0.001741339,0.001233227,0.0001495129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003523489,"about_ca_system_score_gemma":0.002611015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0373428,"about_ca_topic_score_gemma":0.04220606,"domain_scores_codex":[0.9993764,0.0002457144,0.00003077739,0.00005796226,0.0001238096,0.0001654869],"domain_scores_gemma":[0.9988697,0.0004593257,0.0002713937,0.00006695458,0.0002477872,0.00008483911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004481037,0.0001549538,0.2784728,0.001004351,0.0008992282,0.003896496,0.003489747,0.3797431,0.003578589,0.2645985,0.008815695,0.05489843],"study_design_scores_gemma":[0.00001898308,0.000539074,0.6553884,0.0006377501,0.000739291,0.00120871,0.02188928,0.2001484,0.002086337,0.08795512,0.02915316,0.0002355312],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8839877,0.002373538,0.01370431,0.006598453,0.0001026702,0.0001442545,0.003352771,0.00007526972,0.08966116],"genre_scores_gemma":[0.9951195,0.001626678,0.001033505,0.0001534208,0.00002460836,0.00002955525,0.00043177,0.000008594755,0.00157258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0373428,"threshold_uncertainty_score":0.07425088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08151377124767704,"score_gpt":0.3953426287873392,"score_spread":0.3138288575396621,"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."}}