{"id":"W1843332715","doi":"10.3968/j.ans.1715787020120502.1900","title":"Evaluation on Land Use Planning Based on Ecosystem Services Value Change: A Case of Dujiangyan City","year":2012,"lang":"en","type":"article","venue":"Advances in natural science/Advances in natural sciences","topic":"Environmental Quality and Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ecosystem services; Ecosystem; Key (lock); Value (mathematics); Period (music); Geography; Land use, land-use change and forestry; Environmental resource management; Land use; Environmental science; Civil engineering; Ecology; Computer science; Engineering; Mathematics; Computer security; Statistics; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002279395,0.0004057865,0.000368045,0.00127573,0.001064999,0.001620434,0.0008048103,0.0006193781,0.001841753],"category_scores_gemma":[0.003437516,0.0001872058,0.0005061243,0.002061673,0.001089754,0.0009752486,0.001196594,0.0004738656,0.00007488678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008269427,"about_ca_system_score_gemma":0.003457933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1279851,"about_ca_topic_score_gemma":0.1347767,"domain_scores_codex":[0.9978795,0.001081703,0.00008063598,0.000127441,0.0003804875,0.000450171],"domain_scores_gemma":[0.9980857,0.0007398668,0.0002558945,0.0001400515,0.0005078901,0.0002705264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001452669,0.002929652,0.6734323,0.0005045041,0.0003764171,0.01136712,0.0053376,0.218335,0.009016667,0.01023219,0.001305779,0.06571016],"study_design_scores_gemma":[0.0004004005,0.002350854,0.6161854,0.0001084994,0.000393888,0.0007701314,0.03966651,0.3191884,0.01074151,0.002308072,0.007741228,0.0001451188],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970805,0.00003110805,0.0003182886,0.00006334468,0.000002774593,0.00006643424,0.00005153011,0.000004819393,0.002381252],"genre_scores_gemma":[0.9990175,0.00003734711,0.000486634,0.000005564683,0.000001434301,0.00002005679,0.00005002716,0.000001256661,0.0003802128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1279851,"threshold_uncertainty_score":0.2544802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03497921026166096,"score_gpt":0.351908549023866,"score_spread":0.316929338762205,"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."}}