{"id":"W2777173612","doi":"10.1016/j.geoderma.2017.12.003","title":"Phosphorus stocks and speciation in soil profiles of a long-term fertilizer experiment: Evidence from sequential fractionation, P K-edge XANES, and 31P NMR spectroscopy","year":2017,"lang":"en","type":"article","venue":"Geoderma","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":130,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Leibniz-Gemeinschaft; BonaRes; National Research Council Canada; Western Economic Diversification Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Bundesministerium für Bildung und Forschung; University of Saskatchewan","keywords":"Subsoil; Topsoil; Fertilizer; Genetic algorithm; Cambisol; XANES; Environmental chemistry; Fractionation; Chemistry; Phosphorus; Agronomy; Environmental science; Soil water; Soil science; Spectroscopy; Biology; Ecology; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003322781,0.0002373314,0.0004743885,0.0003425484,0.0006567639,0.0006258962,0.0005212782,0.0009860162,0.0005543248],"category_scores_gemma":[0.0005398528,0.0002855408,0.0002198213,0.0003143426,0.0004841226,0.001011464,0.0002962804,0.0005791227,0.0001542951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007204813,"about_ca_system_score_gemma":0.00059772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01137684,"about_ca_topic_score_gemma":0.01649904,"domain_scores_codex":[0.9997997,0.00001906441,0.00001770526,0.00008849947,0.00003983464,0.00003521145],"domain_scores_gemma":[0.9996137,0.0001048235,0.00006678526,0.00003693421,0.00009823137,0.00007963763],"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":[0.001500415,0.0001027768,0.01697897,0.00003041741,0.00002690442,0.00007181556,0.000062903,0.0001343758,0.9784518,0.00004489421,0.00004111544,0.002553528],"study_design_scores_gemma":[0.0001317144,0.001662608,0.4590825,0.00001658848,0.0002011039,0.0004085058,0.0004802002,0.005320826,0.5296556,0.0004288134,0.002547649,0.0000639162],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987175,0.000138655,0.0005583668,0.00002752475,0.000006833988,0.000009460378,0.0002449462,0.00001184299,0.0002849366],"genre_scores_gemma":[0.9978495,0.0001218963,0.0008826938,0.00003990212,0.000004026693,0.00002542625,0.0003707516,0.00001434361,0.0006915286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01137684,"threshold_uncertainty_score":0.02262121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01968770725183465,"score_gpt":0.2689298878229806,"score_spread":0.2492421805711459,"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."}}