{"id":"W2592910866","doi":"10.5539/enrr.v7n1p109","title":"Agroforestry Technique for Minimal Extra-Labour: Influence of Chromolaena-Cajanus Combination on Soil Chemistry and Biology, and Yam Yields","year":2017,"lang":"en","type":"article","venue":"Environment and Natural Resources Research","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cajanus; Decomposer; Earthworm; Agronomy; Litter; Abundance (ecology); Plant litter; Biomass (ecology); Biology; Environmental science; Ecology; Nutrient; Ecosystem","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002520464,0.0003011287,0.0003063429,0.0002881355,0.0003018257,0.0003665733,0.0002218741,0.0001740856,0.0008585283],"category_scores_gemma":[0.000258725,0.0001022232,0.0001823397,0.0001880682,0.0001652111,0.0001335963,0.000230418,0.0002000108,0.0001084637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003652422,"about_ca_system_score_gemma":0.0003794605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004108638,"about_ca_topic_score_gemma":0.01555254,"domain_scores_codex":[0.9998128,0.00005270532,0.000008757303,0.0000538149,0.00003027665,0.00004179995],"domain_scores_gemma":[0.9997578,0.0000407705,0.00004817428,0.0000125627,0.00002467847,0.0001160369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006675431,0.005428743,0.07708909,0.0004624452,0.0002011407,0.0007534124,0.0006080997,0.0004732959,0.8563389,0.0001436376,0.0001482824,0.05167763],"study_design_scores_gemma":[0.0001982499,0.03360542,0.9199175,0.00008524233,0.00024407,0.0005343817,0.001014862,0.001152372,0.03953261,0.00009826783,0.003592429,0.00002462508],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995762,0.0001653135,0.00003493682,0.000007583504,0.000003199549,0.000007829538,0.00001022952,0.000001569054,0.0001931435],"genre_scores_gemma":[0.9989405,0.0001997348,0.0003240823,0.00001583962,0.000004497742,0.00001088705,0.00003724997,0.000001134298,0.0004661098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004108638,"threshold_uncertainty_score":0.008169472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0268865613382345,"score_gpt":0.2925974973353111,"score_spread":0.2657109359970766,"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."}}