{"id":"W2923822944","doi":"10.1111/ele.13258","title":"Sensitivity of global soil carbon stocks to combined nutrient enrichment","year":2019,"lang":"en","type":"letter","venue":"Ecology Letters","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"University of Minnesota; Bundesministerium für Wirtschaftliche Zusammenarbeit und Entwicklung; National Science Foundation","keywords":"Environmental science; Soil carbon; Nutrient; Carbon cycle; Carbon fibers; Agronomy; Grassland; Global change; Carbon sequestration; Soil organic matter; Productivity; Ecology; Climate change; Soil water; Ecosystem; Soil science; Carbon dioxide; Biology","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":[0.0007275895,0.0001275789,0.000202088,0.0002562863,0.000178474,0.0004212043,0.0001597562,0.0008946864,0.001946006],"category_scores_gemma":[0.002218468,0.00007789792,0.0001589919,0.0004314984,0.0003058716,0.0002867731,0.0004112041,0.000384557,0.0003139093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008606841,"about_ca_system_score_gemma":0.0001518826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003302736,"about_ca_topic_score_gemma":0.004153582,"domain_scores_codex":[0.9997025,0.00007778008,0.00001640705,0.00008676747,0.00007167221,0.00004482335],"domain_scores_gemma":[0.9987527,0.0006536984,0.0002378192,0.0001321896,0.0001546757,0.00006902313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003833185,0.000126404,0.5652156,0.000266929,0.0004631013,0.004028399,0.0001901824,0.03066941,0.2665469,0.002382149,0.01105072,0.1152269],"study_design_scores_gemma":[0.0001259439,0.000620955,0.8708572,0.00004912653,0.000162797,0.00325436,0.000427759,0.03308894,0.05974233,0.009975988,0.02158972,0.0001048778],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985375,0.0007339775,0.001046262,0.005828868,0.0001110018,0.000009776333,0.0008520327,0.00006626784,0.005976743],"genre_scores_gemma":[0.99773,0.0001648057,0.0001689879,0.001210367,0.00003786164,0.000008829365,0.0001389365,0.000006068386,0.0005342752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003302736,"threshold_uncertainty_score":0.006567001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007948478355587518,"score_gpt":0.2015406623796129,"score_spread":0.1935921840240253,"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."}}