{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005433325,0.0001640404,0.0002152149,0.00003127717,0.00004777483,0.00001491968,0.000191255,0.0001001039,0.0009402661],"category_scores_gemma":[0.001388555,0.0001119952,0.0000749532,0.0002116527,0.0004580087,0.0005042293,0.0002667738,0.0001553142,0.00003437326],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006241101,"about_ca_system_score_gemma":0.0000742038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002641955,"about_ca_topic_score_gemma":0.0008189233,"domain_scores_codex":[0.9972211,0.0006282476,0.0003486903,0.0003478997,0.001017104,0.0004369362],"domain_scores_gemma":[0.9991304,0.00002884568,0.0000570578,0.0004169801,0.0001963407,0.0001703316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004944183,0.0005362023,0.9802135,0.0000449154,0.000006152556,0.000004909832,0.007409597,0.005844022,0.003361197,0.00005702828,0.0002329986,0.002240021],"study_design_scores_gemma":[0.0006744857,0.0001252136,0.9315661,0.000001972591,0.000022888,0.000002061116,0.008266645,0.0006068227,0.009353533,0.0490889,0.0001241342,0.0001672265],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919094,0.00002300998,0.00001223708,0.0004749748,0.00004061378,0.0008183793,0.000003507567,0.00002072779,0.00669709],"genre_scores_gemma":[0.9995396,4.416557e-7,0.0001264782,0.00002131736,0.00001511905,0.00004713126,0.00001052733,0.000006784336,0.0002326482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04903187,"threshold_uncertainty_score":0.999973,"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."}}