{"id":"W4379876208","doi":"10.1029/2022gb007680","title":"Bioavailability of Macro and Micronutrients Across Global Topsoils: Main Drivers and Global Change Impacts","year":2023,"lang":"en","type":"article","venue":"Global Biogeochemical Cycles","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Northern British Columbia; Agriculture and Agri-Food Canada; Wildlife Conservation Society Canada; McGill University; University of Regina; Fiducie de Recherche sur la Forêt des Cantons-de-l’Est; University of Alberta; Université Laval; Lakehead University; University of Waterloo; Université TÉLUQ","funders":"National Institute of Food and Agriculture; Ministerio de Ciencia e Innovación","keywords":"Biogeochemical cycle; Bioavailability; Topsoil; Environmental chemistry; Context (archaeology); Environmental science; Ecosystem; Global change; Terrestrial ecosystem; Environmental change; Chemistry; Earth science; Soil science; Soil water; Climate change; Ecology; Geology; 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":[0.00045946,0.0003621992,0.0004049089,0.0007467467,0.0003801664,0.0008370253,0.0002738948,0.0004936248,0.0008153982],"category_scores_gemma":[0.0004215852,0.0001935914,0.0002857369,0.001032537,0.0004308049,0.0006121157,0.000549414,0.0003221633,0.0001768925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005003087,"about_ca_system_score_gemma":0.0002980627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01369902,"about_ca_topic_score_gemma":0.01441201,"domain_scores_codex":[0.9997423,0.00002766025,0.00001558168,0.0001410785,0.00004182704,0.00003150941],"domain_scores_gemma":[0.9995086,0.00007711862,0.0001734325,0.00004278427,0.000163796,0.00003414507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003041411,0.00003804714,0.5816988,0.0004525886,0.0003974529,0.0001473814,0.0004442341,0.001367791,0.3941028,0.0002450357,0.0002393632,0.02056233],"study_design_scores_gemma":[0.000004017526,0.00008592652,0.9862393,0.00001657683,0.00006400997,0.00007049536,0.0005523731,0.0009717062,0.01008143,0.000320103,0.00157956,0.00001460576],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949393,0.001605773,0.001193118,0.000122214,0.00001004292,0.00001230356,0.001168643,0.00003513343,0.0009133524],"genre_scores_gemma":[0.9982735,0.000424514,0.0007325605,0.0000438503,0.000006596922,0.000006438386,0.0003468163,0.000008048304,0.0001578103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01369902,"threshold_uncertainty_score":0.02723855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01395740776111004,"score_gpt":0.2666779361234339,"score_spread":0.2527205283623238,"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."}}