{"id":"W2946113265","doi":"10.5539/sar.v8n3p12","title":"Mitigating Ammonia Volatilization from Waterlogged Acids Soils Using Organic Amendments","year":2019,"lang":"en","type":"article","venue":"Sustainable Agriculture Research","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Putra Malaysia","keywords":"Ammonia volatilization from urea; Compost; Biochar; Agronomy; Chemistry; Urea; Leucaena leucocephala; Leucaena; Poultry litter; Fertilizer; Amendment; Soil pH; Ammonia; Soil conditioner; Environmental science; Soil water; Nutrient; Biology; Pyrolysis; 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":[0.0007757404,0.0002282289,0.0002573836,0.00003450601,0.0005822684,0.0003316174,0.0004382603,0.0002660156,0.0006390435],"category_scores_gemma":[0.0001591856,0.00008700554,0.0001019598,0.001570444,0.00006650163,0.0003519219,0.00031617,0.0005084418,0.0001452974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004225382,"about_ca_system_score_gemma":0.00005316146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005252183,"about_ca_topic_score_gemma":0.0009741833,"domain_scores_codex":[0.9968053,0.0003776989,0.0002843398,0.0005668341,0.0008755219,0.001090296],"domain_scores_gemma":[0.9984894,0.0002486238,0.000089081,0.0001347372,0.0008349609,0.000203195],"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":[0.0000323698,0.00009517238,0.05533053,0.00003617699,0.00003889952,0.00003225667,0.000445914,0.00005452613,0.9411908,0.0004985507,0.000338739,0.001906019],"study_design_scores_gemma":[0.002852756,0.001646786,0.3536996,0.0003788488,0.0001303525,0.00005366203,0.1679432,0.05375579,0.3718494,0.01784646,0.02714556,0.002697669],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973146,0.0002257544,0.000005489462,0.0003063964,0.00009266299,0.0006854535,0.00002346317,0.0001029481,0.001243271],"genre_scores_gemma":[0.9937606,0.00002344982,0.0002192331,0.00006036668,0.00031133,0.00002347018,0.0004146881,0.000004155793,0.005182726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5693415,"threshold_uncertainty_score":0.7939765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02672498778779013,"score_gpt":0.2788483725335619,"score_spread":0.2521233847457718,"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."}}