{"id":"W7021037356","doi":"","title":"Multi-Year Application of Dairy Slurry on Grassland: Effects on Crop, Soil Biota, Soil Nutrients, and N<sub>2</sub>O Emission","year":2021,"lang":"en","type":"article","venue":"UKnowledge (University of Kentucky)","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Resources Canada","keywords":"Slurry; Manure; Leaching (pedology); Fertilizer; Soil water; Organic matter; Nutrient; Organic fertilizer","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002405699,0.0002609509,0.0003951905,0.0001835606,0.0003119314,0.0003777726,0.000382818,0.0004076988,0.0005545825],"category_scores_gemma":[0.0003084392,0.0001452955,0.0002956841,0.0001435342,0.0001620546,0.0002276794,0.000328557,0.0003778543,0.0001000214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006854355,"about_ca_system_score_gemma":0.0003892304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006893446,"about_ca_topic_score_gemma":0.01916364,"domain_scores_codex":[0.9998305,0.00003719987,0.00001549734,0.00004770895,0.00002759076,0.00004149763],"domain_scores_gemma":[0.9994895,0.0001759196,0.0001203055,0.00002447341,0.00005774976,0.000131859],"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":[0.005263177,0.0009561823,0.02031411,0.0002022209,0.0001298767,0.0002811455,0.0001829777,0.0006669615,0.9573947,0.00002343808,0.0001265652,0.01445872],"study_design_scores_gemma":[0.0001442553,0.03028342,0.450559,0.00004310646,0.00025384,0.000353631,0.0005218945,0.003318771,0.5118845,0.00007498453,0.002508293,0.00005430854],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994788,0.0002175434,0.00008648892,0.00001334847,0.000006120312,0.000004178118,0.00006276602,0.000004745336,0.0001260781],"genre_scores_gemma":[0.9982749,0.0002475792,0.000467894,0.00005793207,0.00000640979,0.00001044269,0.0001969013,0.00000415017,0.0007337856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006893446,"threshold_uncertainty_score":0.01370668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007963816876823255,"score_gpt":0.1869240820218293,"score_spread":0.178960265145006,"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."}}