{"id":"W4366272856","doi":"10.32920/22650172.v1","title":"Brighter but not clearer: Entertainment-dependent destinations dealing with long COVID","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Destinations; Entertainment; Coronavirus disease 2019 (COVID-19); Business; Las vegas; Pandemic; Geography; Political science; Tourism; Medicine","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":[0.0007901625,0.0001913751,0.0001797054,0.0004495645,0.00218728,0.002402295,0.0004549851,0.0006693202,0.005846018],"category_scores_gemma":[0.002002399,0.00009743198,0.0002127469,0.0008305728,0.0009789977,0.001771968,0.002821299,0.00118146,0.0004703243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009310743,"about_ca_system_score_gemma":0.0009503781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02841577,"about_ca_topic_score_gemma":0.08210801,"domain_scores_codex":[0.9996192,0.0001786748,0.00001094708,0.00003046945,0.00003047314,0.0001301474],"domain_scores_gemma":[0.9991934,0.0001711595,0.0001713164,0.00003479638,0.000134389,0.0002950331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003960313,0.0003854986,0.6303803,0.0005800778,0.0001045162,0.003988243,0.2741254,0.0007761344,0.001485129,0.00953854,0.02025607,0.057984],"study_design_scores_gemma":[0.000005291642,0.0001025013,0.2001351,0.0001687814,0.00001596312,0.0002817787,0.7825484,0.0002856405,0.0001919577,0.0007634366,0.01547076,0.00003036699],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919594,0.000215707,0.0001444479,0.001557629,0.00003414572,0.00001468505,0.0002100765,0.000003750547,0.005860191],"genre_scores_gemma":[0.9965948,0.0003574621,0.0002003227,0.0004325708,0.00001286853,0.00001450182,0.0002389154,0.000006605126,0.002141922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02841577,"threshold_uncertainty_score":0.05650073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08707911103116987,"score_gpt":0.3733299168188965,"score_spread":0.2862508057877266,"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."}}