{"id":"W1995836956","doi":"10.1007/s11104-006-0056-6","title":"Effect of lime, dicyandiamide and soil water content on ammonia and nitrous oxide emissions following application of liquid hog manure to a marshland soil","year":2006,"lang":"en","type":"article","venue":"Plant and Soil","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; Nova Scotia Department of Agriculture","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Department of Agriculture, Nova Scotia","keywords":"Volatilisation; Nitrous oxide; Lime; Chemistry; Manure; Ammonia; Ammonia volatilization from urea; Nitrogen; Environmental chemistry; Slurry; Denitrification; Liquid manure; Agronomy; Animal science; Environmental science; Environmental engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002147132,0.0001511415,0.0002754423,0.00002411676,0.0001025125,0.00002337192,0.00006000811,0.00009486439,0.000001235352],"category_scores_gemma":[0.00001522704,0.00005682686,0.00006048924,0.00006233811,0.00004710165,0.00003854672,0.00005443244,0.00007053883,0.000001156629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007244455,"about_ca_system_score_gemma":0.000002126417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004536594,"about_ca_topic_score_gemma":0.004009783,"domain_scores_codex":[0.9991807,0.00005432735,0.0001986801,0.0002296371,0.0001430345,0.0001936353],"domain_scores_gemma":[0.9995731,0.0001981891,0.00005629919,0.0000476371,0.00001849477,0.0001062546],"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":[0.0008390233,0.00006400969,0.1707388,0.0000571823,0.00002731325,0.000009735568,0.0001225211,0.000006704664,0.8170332,0.00006784096,0.00003383691,0.01099991],"study_design_scores_gemma":[0.001692057,0.003611216,0.4681021,0.0003075371,0.00018008,0.00005637556,0.0001832468,0.0019904,0.5226551,0.0002767112,0.0004351854,0.000510044],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989392,0.0003082849,0.000001376046,0.0002019699,0.00002476532,0.0002799147,0.00008016736,0.00002055934,0.0001437249],"genre_scores_gemma":[0.9995636,0.0000830416,0.00001133073,0.0000711888,0.00005565357,0.00003690537,0.0001064197,0.000001838743,0.000069966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2973633,"threshold_uncertainty_score":0.6858003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007489457691225323,"score_gpt":0.1949574210170922,"score_spread":0.1874679633258668,"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."}}