{"id":"W4411194116","doi":"10.1016/j.indcrop.2025.121344","title":"Effects of introduced macadamia on soil organic carbon and water stocks in subtropical agroforestry systems of southwestern China","year":2025,"lang":"en","type":"article","venue":"Industrial Crops and Products","topic":"Agroforestry and silvopastoral systems","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Major Science and Technology Projects in Yunnan Province; National Key Research and Development Program of China; Chinese Academy of Forestry","keywords":"Subtropics; Agroforestry; China; Environmental science; Soil carbon; Southern china; Macadamia nut; Carbon stock; Carbon fibers; Total organic carbon; Agronomy; Soil water; Geography; Biology; Soil science; Horticulture; Mathematics; Ecology","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":[0.000263556,0.0001694292,0.0004068747,0.00003415175,0.00006010893,0.00003001793,0.0001212093,0.0002636361,0.000004481117],"category_scores_gemma":[0.0001104078,0.00006395173,0.00002592332,0.0002628817,0.0001111655,0.00004610175,0.00008955647,0.0002689571,5.476788e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001830324,"about_ca_system_score_gemma":0.00001942174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003317666,"about_ca_topic_score_gemma":0.0003329611,"domain_scores_codex":[0.9987114,0.0001856616,0.0003440547,0.0003572285,0.000156935,0.000244706],"domain_scores_gemma":[0.999626,0.00009434624,0.0001058969,0.00007452071,0.00004335517,0.00005583926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004678737,0.0001040175,0.1816118,0.0003042908,0.00002691894,0.00001003263,0.0002673586,0.00001300215,0.8112755,0.0002150542,0.0001078349,0.005596365],"study_design_scores_gemma":[0.001160259,0.0009511632,0.732306,0.0004305304,0.00003515482,0.000006496774,0.0002317411,0.00002864269,0.2642042,0.00007898113,0.0003559977,0.0002108002],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977127,0.0003458028,1.655715e-7,0.0008794199,0.0004615592,0.0005149462,0.00000897686,0.00001274583,0.00006365],"genre_scores_gemma":[0.9990658,0.00001218167,6.053354e-7,0.0000103216,0.0005660111,0.00001065896,0.00001080241,0.000001414946,0.0003222479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5506943,"threshold_uncertainty_score":0.5015341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01210474079779613,"score_gpt":0.1980992172912502,"score_spread":0.185994476493454,"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."}}