{"id":"W4324353163","doi":"10.1016/j.geoderma.2023.116429","title":"Mapping N deposition impacts on soil microbial biomass across global terrestrial ecosystems","year":2023,"lang":"en","type":"article","venue":"Geoderma","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biomass (ecology); Ecosystem; Terrestrial ecosystem; Deposition (geology); Environmental science; Soil water; Biodiversity; Environmental chemistry; Agronomy; Ecology; Soil science; Biology; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001770704,0.0001525174,0.0001504638,0.00001145002,0.0002597924,0.0001428054,0.0001789973,0.0001456431,0.00002266751],"category_scores_gemma":[0.00002099105,0.00006713389,0.0001376271,0.0005762536,0.0000276147,0.00007106608,0.00007932944,0.00007684977,0.0003821751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008010908,"about_ca_system_score_gemma":0.000008895498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001758368,"about_ca_topic_score_gemma":0.01073944,"domain_scores_codex":[0.9987835,0.00006798649,0.0001782883,0.000271712,0.0002000482,0.0004984069],"domain_scores_gemma":[0.9996685,0.00005778616,0.00007322583,0.00005793984,0.00002076026,0.0001218057],"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":[0.0001666914,0.00007910743,0.01886534,0.00001950514,0.00004323425,0.0001109535,0.0001980663,0.0000653356,0.9387214,0.00003098655,0.008060773,0.03363864],"study_design_scores_gemma":[0.002443108,0.0007271537,0.8792459,0.0001843025,0.00002782046,0.0002521915,0.002040311,0.04031271,0.05994405,0.0005266076,0.01298468,0.001311152],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968435,0.00002216227,0.000001979991,0.001282896,0.0007445836,0.000148138,0.0002801632,0.0002908226,0.0003857667],"genre_scores_gemma":[0.9984501,0.000007647778,0.000004365255,0.000285246,0.0007817963,0.00001000042,0.0004061715,0.000001281292,0.0000533733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8787773,"threshold_uncertainty_score":0.5992861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02219100464873928,"score_gpt":0.2487339839190321,"score_spread":0.2265429792702929,"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."}}