{"id":"W2357919475","doi":"","title":"The analysis and evaluation on grassland ecosystem service function value of Shandan Horse Field in Qilian Mountain National Nature Reserve","year":2013,"lang":"en","type":"article","venue":"Ganhanqu ziyuan yu huanjing","topic":"Environmental Changes in China","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Grassland; Ecosystem services; Reforestation; Ecosystem; Environmental resource management; Resource (disambiguation); Value (mathematics); Service (business); Functional ecology; Environmental science; Function (biology); Ecology; Agroforestry; Geography; Business; Computer 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":[0.0007201532,0.0001805243,0.0001369858,0.002101407,0.0003255969,0.0004850286,0.0002007412,0.0001715408,0.0009107809],"category_scores_gemma":[0.001061277,0.00007828425,0.0003177047,0.001333045,0.0002424879,0.0005239687,0.0002440226,0.0001204299,0.00005795195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001576477,"about_ca_system_score_gemma":0.0006930973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03334095,"about_ca_topic_score_gemma":0.06342746,"domain_scores_codex":[0.9996642,0.00007375461,0.00002080408,0.00003774994,0.0001348519,0.00006858001],"domain_scores_gemma":[0.9994515,0.0001246193,0.00007540528,0.00002909046,0.0002371942,0.00008216637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001088045,0.00006592974,0.9509279,0.00007015587,0.00006893718,0.0005208952,0.001043549,0.006105959,0.003134111,0.00114531,0.0006191012,0.03618947],"study_design_scores_gemma":[0.000003594598,0.00005569269,0.9846808,0.00001083436,0.00002516013,0.00008888266,0.0009219174,0.01286989,0.0004533234,0.0001802109,0.0007004624,0.000009226776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989767,0.00003389395,0.0002187691,0.00001528841,0.000001004074,0.000004027968,0.00008420461,0.000002492084,0.0006636575],"genre_scores_gemma":[0.9991692,0.00003154801,0.0002478665,0.000002825723,0.000001321981,0.000005921469,0.0001838445,0.000001005132,0.0003564848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03334095,"threshold_uncertainty_score":0.06629378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009766325755418323,"score_gpt":0.258474155992773,"score_spread":0.2487078302373546,"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."}}