{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001137541,0.000152167,0.0001665913,0.000004142635,0.0001260967,0.00002612462,0.0001492968,0.0001970739,0.0001440239],"category_scores_gemma":[0.00004527067,0.00006577223,0.00005552217,0.0002814931,0.0003137343,0.00005604951,0.0001365111,0.00003505595,0.00006736529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007512535,"about_ca_system_score_gemma":0.000006527843,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005200401,"about_ca_topic_score_gemma":0.0230275,"domain_scores_codex":[0.9990127,0.0001005446,0.0001520267,0.0003602215,0.00006046727,0.0003140577],"domain_scores_gemma":[0.999628,0.00002313156,0.00006179864,0.00006020398,0.0001173685,0.0001094794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003913304,0.00003226055,0.9727788,0.000002645063,0.00001317403,0.00000110938,0.00002427886,5.839359e-9,0.006755168,0.00222848,0.0004322073,0.01769277],"study_design_scores_gemma":[0.0002488168,0.00069464,0.973479,0.000006546875,0.00002562776,0.00005228142,0.0001059498,0.0003658268,0.0004071805,0.0145944,0.009722356,0.0002973997],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961296,0.0006606175,0.000005006138,0.0006482623,0.0002956615,0.0001645295,0.0004704665,0.00008395845,0.001541907],"genre_scores_gemma":[0.9976373,0.00007067619,0.00008818462,0.001183822,0.0007764552,0.00001515124,0.0002121353,5.223075e-7,0.00001572564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0178271,"threshold_uncertainty_score":0.9947997,"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."}}