{"id":"W2773658299","doi":"10.5539/jas.v10n1p325","title":"Soil Chemistry and Cucumber (Cucumis sativus L.) Yield as Influenced by 16 Years of Composted Poultry Litter Addition","year":2017,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut de Recherche pour le Développement","keywords":"Compost; Poultry litter; Cucumis; Organic matter; Soil fertility; Randomized block design; Amendment; Chemistry; Litter; Horticulture; Cation-exchange capacity; Soil organic matter; Agronomy; Animal science; Soil water; Biology; Environmental science; Nutrient; Soil science","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":[0.0002429093,0.000402494,0.0003654562,0.0002864971,0.0002099023,0.0003973299,0.0001595131,0.0002607159,0.0006751547],"category_scores_gemma":[0.0003445671,0.0001918232,0.0002662958,0.0001912419,0.0002230979,0.0003332912,0.0002205572,0.0004136273,0.0001366007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00064809,"about_ca_system_score_gemma":0.0002536778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005702673,"about_ca_topic_score_gemma":0.01190096,"domain_scores_codex":[0.9998511,0.00002389892,0.00001332236,0.00005381116,0.00002967421,0.00002812613],"domain_scores_gemma":[0.9994867,0.0000613419,0.0001691622,0.00002228179,0.0001108237,0.00014964],"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":[0.003158026,0.0005561922,0.08715892,0.0001517916,0.0001148773,0.0003088954,0.0002747242,0.0002898001,0.9013277,0.00002720129,0.0000950414,0.006536749],"study_design_scores_gemma":[0.00002232268,0.004397112,0.9309576,0.00001238834,0.00007588606,0.0001228164,0.0002718896,0.0006241967,0.06274287,0.00002454373,0.0007228762,0.00002548622],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993924,0.0002305002,0.00005609719,0.00001043026,0.000006284286,0.000006846515,0.0001556748,0.000004241646,0.0001375428],"genre_scores_gemma":[0.998492,0.0001455489,0.0001377079,0.00002060449,0.000003952891,0.00001395825,0.0003210127,0.000002765722,0.0008625258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005702673,"threshold_uncertainty_score":0.01133895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169700006669379,"score_gpt":0.2443460334497104,"score_spread":0.2326490333830166,"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."}}