{"id":"W4392971489","doi":"10.1108/k-10-2023-2051","title":"Recovery time of the hotel and restaurant sector in Indonesia after COVID-19 crisis: a survival analysis","year":2024,"lang":"en","type":"article","venue":"Kybernetes","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Economic recovery; Unemployment; Regression analysis; Proportional hazards model; Business; Quarter (Canadian coin); Crisis management; Value (mathematics); Coronavirus disease 2019 (COVID-19); Actuarial science; Economics; Statistics; Economic growth; Geography; Macroeconomics","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":[],"consensus_categories":[],"category_scores_codex":[0.001229796,0.00008800992,0.0002054778,0.0003407811,0.00008615686,0.0001650901,0.0002998914,0.00008253685,0.0007511331],"category_scores_gemma":[0.0004674545,0.00006485626,0.0001359378,0.001488826,0.0002821352,0.000192244,0.0001490412,0.0001569868,0.00003849831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001228452,"about_ca_system_score_gemma":0.0003324078,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0246906,"about_ca_topic_score_gemma":0.01382738,"domain_scores_codex":[0.998291,0.0004246454,0.0001701955,0.0002729671,0.0005712631,0.0002699481],"domain_scores_gemma":[0.99898,0.0006056789,0.00003701128,0.0002138421,0.00003799839,0.0001254778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003616439,0.0001939165,0.8818684,0.0003252572,0.001482964,0.001021672,0.04525844,0.0003736164,0.000314108,0.02147654,0.04510723,0.002216248],"study_design_scores_gemma":[0.000993369,0.0001488126,0.8396713,0.0002054659,0.0008748537,0.000002524655,0.02293123,0.001442864,0.0004012403,0.1046113,0.02791506,0.0008020158],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762409,0.001605121,0.000003076741,0.008050806,0.0001429625,0.0002283041,0.00004332981,0.00004443582,0.01364111],"genre_scores_gemma":[0.9975089,0.0001956121,0.00002825797,0.0001550245,0.00008383367,0.00001334813,0.000001306109,0.000008563213,0.002005191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08313476,"threshold_uncertainty_score":0.9818041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02119783388931211,"score_gpt":0.3145033914602388,"score_spread":0.2933055575709266,"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."}}