{"id":"W2003298833","doi":"10.1016/j.egypro.2011.03.180","title":"Challenges and Solutions for Sustainable Land Use in Ruoergai-the Highest Altitude Peatland in Qinhai-Tibetan Plateau, China","year":2011,"lang":"en","type":"article","venue":"Energy Procedia","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Peat; Environmental science; Rangeland; Watershed; Overgrazing; Geography; Hydrology (agriculture); Physical geography; Environmental resource management; Agroforestry; Grazing; Ecology; Geology","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":[0.0003375243,0.0001458417,0.0001757169,0.00005813629,0.0001489647,0.00002422755,0.0001695634,0.0001070108,0.00006952271],"category_scores_gemma":[0.00006456843,0.0001056721,0.00002465599,0.0001208077,0.0001213362,0.0002858692,0.0001888501,0.0001059804,0.000004432274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007736297,"about_ca_system_score_gemma":0.00001593218,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005987209,"about_ca_topic_score_gemma":0.09923142,"domain_scores_codex":[0.9987892,0.00003828025,0.000179769,0.0003334136,0.0000836761,0.0005756492],"domain_scores_gemma":[0.9996156,0.00008740831,0.00004900218,0.0001611769,0.000007108109,0.00007976023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001465778,0.0002823214,0.970128,0.00003860937,0.00001774994,0.0000895513,0.003918461,0.00032582,0.00009232749,0.01924743,0.001908765,0.00380436],"study_design_scores_gemma":[0.0008848662,0.0001299165,0.9756395,0.000009563443,0.000008308404,0.00001637284,0.0001954215,0.0005243078,0.00003570936,0.005388617,0.01700635,0.0001610326],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982221,0.0009193916,0.00005498523,0.0008275908,0.00005880237,0.0002555743,0.000004108663,0.00002864977,0.01562989],"genre_scores_gemma":[0.9967034,0.001277893,0.0001722585,0.00008411277,0.00004698149,0.000155801,0.00001657356,0.00001364665,0.001529306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09324422,"threshold_uncertainty_score":0.9172053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02945351317633386,"score_gpt":0.2119949748989634,"score_spread":0.1825414617226296,"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."}}