{"id":"W2119712357","doi":"10.1007/s10457-007-9061-x","title":"Nutrient use efficiency and biomass production of tree species for rotational woodlot systems in semi-arid Morogoro, Tanzania","year":2007,"lang":"en","type":"article","venue":"Agroforestry Systems","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Gliricidia sepium; Nutrient; Agronomy; Agroforestry; Productivity; Soil fertility; Environmental science; Biomass (ecology); Biology; Soil water; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001975109,0.0001389759,0.0001092324,0.0003372309,0.0002799343,0.0003088179,0.0001900846,0.0001173509,0.0008838052],"category_scores_gemma":[0.0004796594,0.00009728298,0.0001232741,0.0003211428,0.0002109762,0.0001762457,0.0002079196,0.0001041168,0.0001327082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005591642,"about_ca_system_score_gemma":0.0002863286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03792566,"about_ca_topic_score_gemma":0.1250774,"domain_scores_codex":[0.9999387,0.00001907896,0.00000482734,0.000009617823,0.000006471249,0.00002133173],"domain_scores_gemma":[0.9997146,0.00007320933,0.0001065883,0.00001252722,0.00002719376,0.00006601825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009427273,0.0001164842,0.978832,0.0000374444,0.00005736645,0.000185143,0.001078229,0.0005473339,0.01338514,0.0001841305,0.0001360519,0.004497897],"study_design_scores_gemma":[0.000006690627,0.00009731785,0.9986312,0.000002526923,0.00001133134,0.0000424787,0.0004131142,0.0003959505,0.0003044942,0.00001983827,0.00007312916,0.000002049345],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9999164,0.00001041957,0.000008259622,0.000001892983,1.227931e-7,4.763657e-7,0.00002451791,2.869242e-7,0.00003760705],"genre_scores_gemma":[0.9998536,0.000007930213,0.00002790104,0.000001977415,1.254247e-7,0.000001233815,0.00003286026,3.075088e-7,0.00007401848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03792566,"threshold_uncertainty_score":0.07540983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01954346029786023,"score_gpt":0.206779174199615,"score_spread":0.1872357139017548,"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."}}