{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004543278,0.0001567837,0.0002663799,0.00001219562,0.0005741565,0.0003009491,0.0008498895,0.0001162652,0.0004119816],"category_scores_gemma":[0.0003924882,0.00005012374,0.00009009292,0.0003238645,0.0005816462,0.001049479,0.0002160463,0.0002854545,0.00001539086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007112878,"about_ca_system_score_gemma":0.00004226423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005711473,"about_ca_topic_score_gemma":0.00004619821,"domain_scores_codex":[0.9981179,0.00002742606,0.0004083512,0.0002431405,0.0008654426,0.0003377928],"domain_scores_gemma":[0.9982855,0.0001351138,0.0006649861,0.00007656974,0.0005727295,0.0002651298],"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":[0.00002423599,0.000043776,0.01064577,0.000007951866,0.00001333106,0.00000607076,0.00008286688,7.54529e-7,0.9595289,0.00001139434,0.01086571,0.01876927],"study_design_scores_gemma":[0.0001758335,0.0001963241,0.883936,0.0001287954,0.0000115987,0.0001664508,0.0007044604,9.554799e-7,0.1114264,0.000100469,0.00299066,0.0001620938],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933355,0.0001774326,3.509023e-7,0.003771881,0.0001198882,0.00009886472,0.00002047764,0.00000831394,0.002467252],"genre_scores_gemma":[0.9977897,0.0002577725,0.00005466882,0.00009756396,0.0001957959,0.000001968032,0.00001273727,6.128168e-7,0.001589131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8732902,"threshold_uncertainty_score":0.451091,"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."}}