{"id":"W2907717338","doi":"10.1007/s10533-018-00535-4","title":"Long-term nitrogen addition suppresses microbial degradation, enhances soil carbon storage, and alters the molecular composition of soil organic matter","year":2019,"lang":"en","type":"article","venue":"Biogeochemistry","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":113,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biogeochemical cycle; Soil carbon; Soil water; Environmental chemistry; Soil organic matter; Chemistry; Biomass (ecology); Nitrogen cycle; Environmental science; Cycling; Cutin; Nitrogen; Agronomy; Soil science; Biology; Forestry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001353859,0.0004133661,0.0005004773,0.0002258554,0.0002327367,0.0005691268,0.0005057532,0.0004275198,0.001222017],"category_scores_gemma":[0.000264613,0.0001424134,0.0002126948,0.0001472227,0.0004764861,0.0004399901,0.0004349998,0.0006488359,0.0002428908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007576412,"about_ca_system_score_gemma":0.000628568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00269579,"about_ca_topic_score_gemma":0.009996865,"domain_scores_codex":[0.9998447,0.00001294736,0.00001162264,0.00005483546,0.00004203988,0.00003382228],"domain_scores_gemma":[0.9994404,0.00005639985,0.0001310423,0.00005703954,0.00007928701,0.0002359129],"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":[0.001005288,0.0001428858,0.0005506988,0.00004218812,0.00001630309,0.00004809638,0.00001094109,0.00005494418,0.9961318,0.00003509991,0.00005152273,0.001910244],"study_design_scores_gemma":[0.00007926673,0.001673288,0.02737995,0.0000145622,0.00006406739,0.0002536685,0.0001044985,0.001289975,0.9660641,0.0002089855,0.002844359,0.0000232844],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973248,0.0009873203,0.0006271196,0.00009649822,0.00006582854,0.000009345942,0.0001287519,0.00005110847,0.0007090747],"genre_scores_gemma":[0.99468,0.0003868717,0.001068493,0.0001100074,0.00002814249,0.00001576528,0.000434526,0.0000243419,0.003251782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00269579,"threshold_uncertainty_score":0.005497038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004695476795380327,"score_gpt":0.1850453128539301,"score_spread":0.1803498360585497,"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."}}