{"id":"W3027113981","doi":"10.1016/j.soilbio.2020.107864","title":"Effect of a tree mixture and water availability on soil nutrients and extracellular enzyme activities along the soil profile in an experimental forest","year":2020,"lang":"en","type":"article","venue":"Soil Biology and Biochemistry","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Centre de Géomatique du Québec","funders":"Université de Bordeaux; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Institut National de la Recherche Agronomique; Agence Nationale de la Recherche","keywords":"Nutrient; Pinus pinaster; Environmental science; Soil water; Monoculture; Agronomy; Cycling; Soil horizon; Soil carbon; Nutrient cycle; Ecology; Biology; Soil science; Forestry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005083229,0.0007781657,0.001056391,0.00065718,0.001234066,0.000773943,0.0007591401,0.0006095992,0.001374515],"category_scores_gemma":[0.000797349,0.0007150638,0.0004624171,0.000490368,0.001472046,0.000902074,0.0007383983,0.001570133,0.0002300729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001283345,"about_ca_system_score_gemma":0.001465051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01872349,"about_ca_topic_score_gemma":0.02346159,"domain_scores_codex":[0.9993927,0.0001044277,0.00006044051,0.0001738847,0.00007396256,0.0001945872],"domain_scores_gemma":[0.9974825,0.0006558674,0.0002791222,0.0001496276,0.0001853793,0.001247567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.1263169,0.008243725,0.02256618,0.0001280418,0.0001662898,0.0003812359,0.0005054887,0.000894326,0.8363996,0.000193432,0.0001996138,0.004005229],"study_design_scores_gemma":[0.002664957,0.06566298,0.4371147,0.00004409109,0.0009075245,0.0008547201,0.002076205,0.01671772,0.470768,0.000696325,0.002273542,0.0002193183],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996712,0.00003539114,0.00008680116,0.00001685861,0.000009467506,0.00001213082,0.0000777422,0.000006146211,0.00008424531],"genre_scores_gemma":[0.9977694,0.00006253229,0.0006059338,0.00005386957,0.00002040365,0.00005520377,0.0003284329,0.00002424519,0.001079917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01872349,"threshold_uncertainty_score":0.037229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004604927852651778,"score_gpt":0.2057882101480776,"score_spread":0.2011832822954258,"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."}}