{"id":"W4394608470","doi":"10.1002/ldr.5098","title":"Impacts of environmental and socioeconomic factors on gross ecosystem product of the Three Gorges reservoir area, China","year":2024,"lang":"en","type":"article","venue":"Land Degradation and Development","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau; National Natural Science Foundation of China","keywords":"Reforestation; Driving factors; Ecosystem services; Resource (disambiguation); Vegetation (pathology); Gross domestic product; Socioeconomic development; Sustainable development; Restoration ecology; Socioeconomic status; Gross Regional Product; Three gorges; Ecosystem; Environmental resource management; China; Land use; Grassland; Geography; Environmental science; Ecology; Agroforestry","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":[0.0001624764,0.0001028458,0.0001298966,0.00002399578,0.0000961402,0.00002866222,0.00007684835,0.00003025234,0.0002310306],"category_scores_gemma":[0.000002701423,0.00005578219,0.00002099061,0.00003299666,0.00002125278,0.000126397,0.0001211022,0.00004321565,0.00002096018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005653763,"about_ca_system_score_gemma":0.00001403086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001529156,"about_ca_topic_score_gemma":0.002016329,"domain_scores_codex":[0.9993323,0.00001938418,0.0002121179,0.0001956535,0.0001376704,0.0001028855],"domain_scores_gemma":[0.9997346,0.00003001546,0.00007477195,0.0001150237,0.000001239179,0.00004432203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001143097,0.00002308714,0.9949412,0.0001151728,0.00002451208,3.959693e-7,0.001118867,0.00003266849,0.0007174856,0.0000163587,0.00008121429,0.002917597],"study_design_scores_gemma":[0.0001429952,0.00002672841,0.988987,0.00006784107,0.000007108033,0.000003505057,0.0001169031,0.0002510389,0.008688403,0.00009694068,0.001529174,0.0000823341],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990135,0.0002346018,0.000004996167,0.0001433557,0.0001104224,0.0001738889,0.00003779641,0.00001070197,0.0002707485],"genre_scores_gemma":[0.9997576,0.0000848448,0.00005606769,0.00001362604,0.000009964532,0.000005048164,0.00001599848,0.000005986168,0.00005087817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007970918,"threshold_uncertainty_score":0.2529624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01190046750537462,"score_gpt":0.2018513229503824,"score_spread":0.1899508554450077,"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."}}