{"id":"W1592293068","doi":"10.3390/f6072307","title":"Enhanced Soil Carbon Storage under Agroforestry and Afforestation in Subtropical China","year":2015,"lang":"en","type":"article","venue":"Forests","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Agronomy; Afforestation; Ginkgo; Sowing; Soil carbon; Environmental science; Ginkgo biloba; Cropping system; Agroforestry; Humid subtropical climate; Carbon sequestration; Agriculture; Soil water; Biology; Botany; Crop; Carbon dioxide","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":[0.0002536043,0.0002292576,0.0001586651,0.000611303,0.0003000053,0.0003309046,0.0001928177,0.0001735539,0.0003086707],"category_scores_gemma":[0.0002005327,0.0001015483,0.000209,0.000669755,0.0003538791,0.0002235027,0.0003185421,0.00007485122,0.00003680634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001261106,"about_ca_system_score_gemma":0.0005677538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04326458,"about_ca_topic_score_gemma":0.08393316,"domain_scores_codex":[0.9999019,0.00001598427,0.00001019272,0.00001950702,0.00001541526,0.00003702577],"domain_scores_gemma":[0.9998246,0.00001347948,0.0000523579,0.00001156952,0.00002713452,0.00007093603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005561613,0.0000864476,0.9537858,0.0000561182,0.000172472,0.0006283367,0.0008250423,0.001703091,0.03529396,0.0001966228,0.00007267376,0.006623316],"study_design_scores_gemma":[0.000004697472,0.00002653901,0.9989754,0.000001108585,0.00001166497,0.00003272009,0.0001684655,0.0004508006,0.0002662202,0.00002199163,0.00003789542,0.000002461157],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998981,0.00002111819,0.000005228399,0.000003724571,2.406605e-7,6.153023e-7,0.0000163469,4.938823e-7,0.00005416411],"genre_scores_gemma":[0.9999018,0.00001837532,0.00000856722,0.000002802724,4.567151e-7,7.442545e-7,0.00003239287,1.569024e-7,0.0000347371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04326458,"threshold_uncertainty_score":0.08602548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01585973600212572,"score_gpt":0.2244904551860178,"score_spread":0.2086307191838921,"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."}}