{"id":"W2197392479","doi":"10.1002/2015gb005239","title":"Toward more realistic projections of soil carbon dynamics by Earth system models","year":2015,"lang":"en","type":"article","venue":"Global Biogeochemical Cycles","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":545,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Canadian Forest Service","funders":"U.S. Department of Energy; Met Office; Department for Environment, Food and Rural Affairs, UK Government; National Science Foundation","keywords":"Earth system science; Environmental science; Soil carbon; Soil water; Carbon cycle; Climate change; Data assimilation; Soil science; Ecology; Ecosystem; Meteorology; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001199411,0.0001965535,0.0002793636,0.000009247319,0.00004528666,0.00002912923,0.0002650257,0.0002150236,0.000003905688],"category_scores_gemma":[0.00005937952,0.00009197793,0.0001353826,0.0004507403,0.0001531196,0.00005456488,0.0001088294,0.0001004171,0.000004762034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001933815,"about_ca_system_score_gemma":0.00003061127,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01889563,"about_ca_topic_score_gemma":0.001857337,"domain_scores_codex":[0.9986291,0.00005008876,0.0003006957,0.0003244798,0.000371918,0.0003237108],"domain_scores_gemma":[0.9993244,0.00004137468,0.0001121888,0.00009754196,0.0001700992,0.0002544389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002073162,0.003299397,0.455697,0.0008355652,0.0008409479,0.0001597584,0.0009539894,0.002785359,0.3175253,0.1186775,0.01557102,0.08158105],"study_design_scores_gemma":[0.001199879,0.000664341,0.005913952,0.0001975393,0.0002615076,0.0001972472,0.007764319,0.9294025,0.02965753,0.02276197,0.0005391426,0.001440016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844738,0.0003044214,0.00001101324,0.0003747397,0.000116508,0.0001586391,0.002070561,0.0001763889,0.01231392],"genre_scores_gemma":[0.9988891,0.00002243284,0.0001025911,0.00004608536,0.00008521524,0.00001481792,0.0008205413,0.000001483869,0.00001774155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9266172,"threshold_uncertainty_score":0.9876376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02752549873069363,"score_gpt":0.2328700134831373,"score_spread":0.2053445147524437,"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."}}