{"id":"W4390883616","doi":"10.1002/ldr.5037","title":"Chinese urbanization promoted terrestrial ecosystem health by implementing high‐quality development and ecological management","year":2024,"lang":"en","type":"article","venue":"Land Degradation and Development","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":14,"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","keywords":"Urbanization; Urban agglomeration; Ecosystem; China; Sustainable development; Geography; Ecosystem services; Urban ecosystem; Environmental resource management; Ecology; Environmental science; Economic 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":[],"consensus_categories":[],"category_scores_codex":[0.0007352267,0.0001744255,0.0001925951,0.0000476748,0.0003554219,0.0002034571,0.0000687015,0.00005160036,0.0002458652],"category_scores_gemma":[0.000004657137,0.0001183593,0.00001185495,0.000167474,0.000006539064,0.000199371,0.0002299917,0.00005555169,0.00007679679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000168744,"about_ca_system_score_gemma":0.0000320841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001312159,"about_ca_topic_score_gemma":0.001651802,"domain_scores_codex":[0.9984672,0.00007577343,0.0005004863,0.0004161297,0.0002630187,0.0002773564],"domain_scores_gemma":[0.9996504,0.00003191337,0.00009679584,0.00008186854,0.000004490324,0.0001345166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005359837,0.0001973214,0.5650378,0.0009810042,0.0001652726,0.0000191591,0.003082867,0.00002987018,0.000129928,0.0003274091,0.003604424,0.4263713],"study_design_scores_gemma":[0.001228561,0.00005946343,0.7180853,0.0001367686,0.00001210354,0.00001489309,0.0002008235,0.001649768,0.0003351968,0.0001780216,0.2776667,0.00043239],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964324,0.0002065407,0.001696706,0.0003793772,0.0001882187,0.0004531605,0.00001099165,0.0001120411,0.0005206118],"genre_scores_gemma":[0.9933002,0.00008048859,0.005728554,0.0001605403,0.00003157176,0.00005736835,0.0004289557,0.00001058021,0.0002017124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4259389,"threshold_uncertainty_score":0.4826552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497418733257814,"score_gpt":0.263653344950014,"score_spread":0.2486791576174358,"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."}}