{"id":"W2178695184","doi":"10.3390/su71115548","title":"Evaluation of Tourism Water Capacity in Agricultural Heritage Sites","year":2015,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Chinese Academy of Sciences","keywords":"Tourism; Water use; Sustainability; Footprint; Agriculture; Water resources; Water resource management; Environmental science; Sustainable tourism; Environmental resource management; Environmental planning; Geography","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":[0.0009471619,0.0002527883,0.0002619622,0.002645339,0.0005025443,0.001059245,0.0003701549,0.0002448399,0.002117587],"category_scores_gemma":[0.002288296,0.0001178931,0.0004550076,0.002873826,0.0005861312,0.0007949262,0.0007922696,0.0002351403,0.0002607862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001064381,"about_ca_system_score_gemma":0.0006076426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01435607,"about_ca_topic_score_gemma":0.02743952,"domain_scores_codex":[0.9990245,0.0002127858,0.00006295685,0.00006937166,0.0004896504,0.0001407714],"domain_scores_gemma":[0.9984298,0.0003581582,0.0002702221,0.00006768113,0.0006052638,0.0002688599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004890072,0.0004260584,0.9073417,0.0004105752,0.0001812522,0.0009873409,0.003525731,0.01073881,0.006867172,0.0008644152,0.001231373,0.06693657],"study_design_scores_gemma":[0.000007930712,0.0005695616,0.9631954,0.00006030315,0.00004337571,0.0001859932,0.01859488,0.01071283,0.002988144,0.000366159,0.003228782,0.00004675313],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950604,0.00004517256,0.0006168687,0.00001753674,0.000003322541,0.00005819638,0.0004408822,0.00001076301,0.003746911],"genre_scores_gemma":[0.998071,0.00004239467,0.0007443608,0.00000381595,0.000001707917,0.000034575,0.0004754088,0.000002968375,0.0006238651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01435607,"threshold_uncertainty_score":0.02854502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0416368738786209,"score_gpt":0.2718955056215214,"score_spread":0.2302586317429005,"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."}}