{"id":"W2320739919","doi":"10.1038/nplants.2015.80","title":"Grassland productivity limited by multiple nutrients","year":2015,"lang":"en","type":"article","venue":"Nature Plants","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":617,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Environment Research Council; University of Minnesota; U.S. Department of Agriculture; National Institute of Food and Agriculture; National Science Foundation","keywords":"Nutrient; Grassland; Productivity; Ecosystem; Agronomy; Primary production; Phosphorus; Environmental science; Terrestrial ecosystem; Ecology; Biology; Chemistry","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":[0.000249485,0.0001835534,0.0004186955,0.0004957611,0.0002134556,0.000589688,0.000311816,0.0002963264,0.001035312],"category_scores_gemma":[0.0006261969,0.0002938036,0.000267379,0.0003395411,0.0004832522,0.0008413182,0.0005789254,0.0001943043,0.00009549492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006215015,"about_ca_system_score_gemma":0.0003026261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003023586,"about_ca_topic_score_gemma":0.008276787,"domain_scores_codex":[0.999859,0.0000222849,0.000009278811,0.00004784002,0.00002177137,0.00003980962],"domain_scores_gemma":[0.9994252,0.0001756312,0.0001569004,0.00008618688,0.00003440812,0.0001217154],"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":[0.001465079,0.0001800384,0.2694415,0.0001827275,0.0005433788,0.001091509,0.0002424763,0.02735821,0.6722465,0.004981681,0.000385832,0.02188107],"study_design_scores_gemma":[0.00007357714,0.000246276,0.9349439,0.00001166164,0.0001160699,0.0006837578,0.0003187101,0.04636892,0.009305206,0.006757142,0.001136499,0.00003829591],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991707,0.00005447477,0.0003196629,0.00001377213,9.05088e-7,5.856005e-7,0.00002204236,0.000007604061,0.0004102262],"genre_scores_gemma":[0.9996536,0.00002463515,0.0001703797,0.000005134096,0.00000169874,9.527258e-7,0.00002502615,0.000002751613,0.0001158837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003023586,"threshold_uncertainty_score":0.006011963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008770434052397554,"score_gpt":0.2090965465267564,"score_spread":0.2003261124743588,"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."}}