{"id":"W3209886920","doi":"10.26480/ees.02.2021.121.128","title":"AN ATTEMPT TO IDENTIFY CULTURAL ECOSYSTEM SERVICES AND RELATED LAND USE TYPES IN RURAL AREAS UNDER URBANIZATION","year":2021,"lang":"en","type":"article","venue":"Environment & Ecosystem science","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Shandong Province","keywords":"Urbanization; Geography; China; Ecosystem services; Scale (ratio); Land use; Environmental resource management; Rural area; Environmental planning; Ecosystem; Ecology; Cartography; Political science; Environmental science","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":[0.0006383583,0.0003333932,0.0001812601,0.002291487,0.0004171503,0.0006218792,0.0001944227,0.0002118011,0.001260364],"category_scores_gemma":[0.001486334,0.0001104447,0.0003090606,0.002193486,0.0003135713,0.0006537237,0.0007325334,0.0002074125,0.000119407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000518003,"about_ca_system_score_gemma":0.000891678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0114637,"about_ca_topic_score_gemma":0.03384973,"domain_scores_codex":[0.9997455,0.00007735776,0.00002609728,0.00003551936,0.00006760894,0.00004794604],"domain_scores_gemma":[0.9995251,0.0001107095,0.0001287738,0.00002916834,0.0001476059,0.00005862414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005958707,0.0001137599,0.9449528,0.0001445145,0.00003710212,0.0002452379,0.005702999,0.0005376458,0.003593886,0.0006065481,0.0002434574,0.04376254],"study_design_scores_gemma":[0.000005928939,0.0001089639,0.9792324,0.00002168021,0.00002648127,0.0001156589,0.01597049,0.002912852,0.0005093002,0.0002632725,0.0008203601,0.00001255575],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981299,0.00002542803,0.0006486669,0.00002328563,0.000001105863,0.00004892331,0.0000819881,0.000002735863,0.001037881],"genre_scores_gemma":[0.9971049,0.00005186095,0.002257354,0.000008006794,0.000001271963,0.00005529817,0.0001330142,9.177414e-7,0.0003872653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0114637,"threshold_uncertainty_score":0.02279395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008677160873979494,"score_gpt":0.2258951638659346,"score_spread":0.2172180029919551,"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."}}