{"id":"W6939013105","doi":"10.60692/sqydm-khj49","title":"Soil net nitrogen mineralisation across global grasslands","year":2019,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Mineralization (soil science); Nitrogen cycle; Soil water; Nutrient; Nitrogen; Global change; Ecosystem; Soil nutrients","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004187919,0.0002744599,0.0002200113,0.0008463516,0.0001422857,0.0004030904,0.0001819635,0.0002630143,0.0009416426],"category_scores_gemma":[0.0006311971,0.0001457212,0.0002581418,0.001329722,0.0003566992,0.0006001422,0.0005601683,0.0001047255,0.0001099839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005286552,"about_ca_system_score_gemma":0.0002180923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01833689,"about_ca_topic_score_gemma":0.03152379,"domain_scores_codex":[0.9998372,0.00002910296,0.00001229402,0.00008288513,0.00002081735,0.00001765608],"domain_scores_gemma":[0.9996424,0.00006745043,0.000149743,0.00003975331,0.0000736428,0.00002695645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001349124,0.00001944393,0.9582567,0.0002748997,0.0005047041,0.0001292208,0.0005575281,0.004347519,0.0135891,0.0004169246,0.0004621599,0.02130675],"study_design_scores_gemma":[0.000002728004,0.00001129687,0.9984591,0.000007835121,0.00001817881,0.00002867732,0.0001052182,0.0006350329,0.0001740646,0.00010091,0.000452707,0.000004347688],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974075,0.000428296,0.0002816644,0.00008016961,0.000002908466,0.000003506968,0.0009202943,0.00002961355,0.0008461428],"genre_scores_gemma":[0.9987588,0.0001555405,0.0002545909,0.00002676179,0.00000302575,0.000003873102,0.0006955799,0.000004261371,0.00009765886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01833689,"threshold_uncertainty_score":0.03646034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01947765882071921,"score_gpt":0.2022931781069563,"score_spread":0.1828155192862371,"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."}}