{"id":"W4220746732","doi":"10.1016/j.ijgeop.2022.03.001","title":"Visitor satisfaction and behavioral intentions in nature-based tourism during the COVID-19 pandemic: A case study from Zhangjiajie National Forest Park, China","year":2022,"lang":"en","type":"article","venue":"International Journal of Geoheritage and Parks","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Visitor pattern; Tourism; National park; China; Pandemic; Destinations; Geography; Coronavirus disease 2019 (COVID-19); Natural resource; Recreation; Marketing; Socioeconomics; Psychology; Business; Political science; Medicine; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001664633,0.00009385233,0.0001329313,0.0002911825,0.0007409051,0.0002522606,0.0002969669,0.00006275409,0.0003577479],"category_scores_gemma":[0.0003881793,0.00008126178,0.00006859985,0.0001492887,0.0001482855,0.0003708537,0.0001846013,0.0007900898,5.823696e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004888619,"about_ca_system_score_gemma":0.0003624576,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03437699,"about_ca_topic_score_gemma":0.05029649,"domain_scores_codex":[0.9974645,0.0004824848,0.000304633,0.0001700269,0.001412207,0.0001661287],"domain_scores_gemma":[0.9989604,0.00036457,0.0002230479,0.00006678167,0.0002354561,0.0001497014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003266149,0.0003148958,0.9797228,0.000002795324,0.00009772961,0.009912568,0.006933935,0.0005220264,0.0000906691,0.0001551285,0.0006230485,0.001297804],"study_design_scores_gemma":[0.002560155,0.0002103623,0.94064,0.00001551042,0.00003255221,0.001077944,0.04915956,0.0002364905,0.000003074927,0.00182663,0.004098311,0.0001394466],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940519,0.0002512906,0.00003162451,0.004458437,0.0006036616,0.0002349371,0.00007252481,0.000009940406,0.0002856422],"genre_scores_gemma":[0.9990141,0.00006642355,0.00006104755,0.0002137111,0.0004895285,0.0000242501,0.000005429848,0.000007440603,0.0001180356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04222562,"threshold_uncertainty_score":0.9720532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04602187134645482,"score_gpt":0.3947914265256496,"score_spread":0.3487695551791948,"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."}}