{"id":"W2398666753","doi":"10.1007/s10457-016-9969-0","title":"Carbon storage in agroforestry systems in the semi-arid zone of Niayes, Senegal","year":2016,"lang":"en","type":"article","venue":"Agroforestry Systems","topic":"Agroforestry and silvopastoral systems","field":"Agricultural and Biological Sciences","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Agriculture, Fisheries and Food; Université du Québec en Abitibi-Témiscamingue; Centre de Géomatique du Québec; Université Laval","funders":"Earth Institute, Columbia University","keywords":"Loam; Soil carbon; Carbon sequestration; Agronomy; Soil water; Environmental science; Acacia; Biomass (ecology); Agroforestry; Balanites aegyptiaca; Soil fertility; Rangeland; Forestry; Biology; Geography; Botany; Ecology; Soil science; 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":[0.0002455392,0.0003221265,0.0002959486,0.001293121,0.0005572944,0.0007737948,0.0004575471,0.0002086689,0.001211396],"category_scores_gemma":[0.0004015193,0.0001865252,0.0002215539,0.002137425,0.0008320097,0.0005239382,0.0008192561,0.0001342434,0.0001471563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001588569,"about_ca_system_score_gemma":0.0007740123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1096695,"about_ca_topic_score_gemma":0.2289008,"domain_scores_codex":[0.9998373,0.00004738713,0.00001591748,0.00002778272,0.0000139321,0.00005762377],"domain_scores_gemma":[0.999797,0.00003567776,0.00005752322,0.00001361125,0.00004491399,0.00005115851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001250457,0.0001317218,0.9628044,0.0001913188,0.000333153,0.001455951,0.004673607,0.001694301,0.01350628,0.00113857,0.0002118465,0.01260834],"study_design_scores_gemma":[0.00001277727,0.0000459343,0.9966924,0.000007893117,0.00002523979,0.0001402527,0.001815537,0.0006570367,0.000275635,0.00009514522,0.0002255091,0.000006683194],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995677,0.00007936883,0.00001032987,0.00001160769,5.086386e-7,0.000001900853,0.000107768,0.000001000714,0.0002198771],"genre_scores_gemma":[0.9997702,0.00004114686,0.000021922,0.000003038996,5.151762e-7,0.00000341087,0.0000651389,4.863201e-7,0.00009428478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1096695,"threshold_uncertainty_score":0.2180623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01504094225445766,"score_gpt":0.2023152018644932,"score_spread":0.1872742596100356,"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."}}