{"id":"W4206152224","doi":"10.1111/grow.12605","title":"Establishing tourism sustainability in a globally important agricultural heritage system in China: A case of social and eco‐system recovery","year":2022,"lang":"en","type":"article","venue":"Growth and Change","topic":"Agricultural Systems and Practices","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"National Natural Science Foundation of China","keywords":"Tourism; Sustainability; Government (linguistics); Agriculture; Geography; Business; Cultural heritage; Environmental resource management; Natural heritage; China; Stakeholder; Environmental planning; Political science; Ecology; Economics; Archaeology","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":[0.001727954,0.0004678074,0.0002865575,0.001178918,0.01348317,0.003613636,0.001534265,0.001521951,0.002712358],"category_scores_gemma":[0.0009048553,0.0001675014,0.000389097,0.001641617,0.01031445,0.001830336,0.005645395,0.001578445,0.0001194367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0111055,"about_ca_system_score_gemma":0.008137966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06079659,"about_ca_topic_score_gemma":0.1276206,"domain_scores_codex":[0.9987594,0.0004774821,0.00002824099,0.00007265552,0.0001561324,0.0005061564],"domain_scores_gemma":[0.9994335,0.0001138931,0.0001026915,0.00007540722,0.00006159167,0.0002129143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001109896,0.0002217429,0.03639871,0.0002537647,0.0000552667,0.03887069,0.7957359,0.003609281,0.003621155,0.08812618,0.004591315,0.02840499],"study_design_scores_gemma":[0.00001194842,0.0001376563,0.02395992,0.000143111,0.00002636196,0.001930486,0.9048184,0.003645432,0.001427068,0.006572575,0.05727842,0.00004855588],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802213,0.0001565167,0.0004833803,0.001582452,0.00002482058,0.00005168418,0.00001563379,0.00001234016,0.01745201],"genre_scores_gemma":[0.9967518,0.00009217452,0.000210701,0.00006453138,0.000004669407,0.00001267693,0.000008436492,0.000003060856,0.002852072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06079659,"threshold_uncertainty_score":0.1208854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01373474217243936,"score_gpt":0.211735050828423,"score_spread":0.1980003086559836,"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."}}