{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001097091,0.0001095082,0.0001225164,0.00001635215,0.00003206634,0.00003172872,0.000085305,0.0001063025,0.000009311285],"category_scores_gemma":[0.00004537827,0.0000475817,0.00002751265,0.0001849826,0.0000550093,0.00007205657,0.00004570691,0.0001126014,0.000004586188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005111931,"about_ca_system_score_gemma":0.00001633138,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001748953,"about_ca_topic_score_gemma":0.1005258,"domain_scores_codex":[0.999214,0.00004615573,0.0001338341,0.0002022,0.0001760903,0.0002277281],"domain_scores_gemma":[0.9997088,0.0000406285,0.00004084393,0.00004309143,0.00002490439,0.0001417379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000207012,0.0001393307,0.9621166,0.00001177322,0.00001068722,0.00003771294,0.0005723021,0.001160742,0.008357069,0.004330938,0.00006608608,0.02298975],"study_design_scores_gemma":[0.0002938594,0.0001596129,0.9794162,0.000009414062,0.000003491897,0.000006020726,0.0001964892,0.01311523,0.0003832457,0.006270941,0.00002404992,0.0001214714],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998023,0.00009111149,0.000009930703,0.0002825375,0.0001094116,0.0001056501,0.000004637401,0.00004383509,0.001329918],"genre_scores_gemma":[0.9996464,0.00002040709,0.00002199305,0.00005654991,0.0001053416,0.00001139595,0.00004423613,0.00000132638,0.0000923499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0987769,"threshold_uncertainty_score":0.9158872,"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."}}