{"id":"W2908247056","doi":"10.1111/gcb.14557","title":"Microbes drive global soil nitrogen mineralization and availability","year":2018,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":441,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"National Natural Science Foundation of China","keywords":"Nitrogen cycle; Mineralization (soil science); Environmental science; Nitrogen; Environmental chemistry; Agronomy; Agroforestry; Soil science; Earth science; Soil water; Geology; Chemistry; 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":[0.0006131325,0.0003276361,0.0003047461,0.0003657966,0.0001398278,0.0005433935,0.0001603128,0.0003506951,0.0006350251],"category_scores_gemma":[0.0009951878,0.000141324,0.0002472477,0.0003900651,0.0003549776,0.0006880852,0.0006257658,0.0001864941,0.000118632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00040346,"about_ca_system_score_gemma":0.0003212772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006288251,"about_ca_topic_score_gemma":0.007635674,"domain_scores_codex":[0.999837,0.0000443485,0.00001023312,0.00006238914,0.00002245701,0.00002357207],"domain_scores_gemma":[0.9996077,0.000125689,0.0001441449,0.00002744986,0.00006099986,0.00003398308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001417971,0.00003906676,0.8905264,0.0002893238,0.0003759642,0.0001759018,0.0001552886,0.01510792,0.06788842,0.002365918,0.0003658512,0.02256809],"study_design_scores_gemma":[0.000009216778,0.00006963885,0.975762,0.00002304537,0.00007408606,0.00005809129,0.0002773422,0.01567625,0.003515829,0.003306139,0.001214943,0.00001348948],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942604,0.001102507,0.002193636,0.0001920964,0.000009552715,0.0000083955,0.0006430857,0.00003130871,0.001558785],"genre_scores_gemma":[0.9990715,0.0002885741,0.0003991436,0.0000219399,0.000003558473,0.000002708546,0.0001336668,0.000002970438,0.00007591977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006288251,"threshold_uncertainty_score":0.01250333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02747444494737141,"score_gpt":0.2545244118251718,"score_spread":0.2270499668778004,"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."}}