{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001639312,0.0001382381,0.0001197514,0.00002416457,0.00006387951,0.00002438571,0.000216218,0.0002099949,0.0000147237],"category_scores_gemma":[0.0001219041,0.0001093909,0.00002522362,0.0001685121,0.00006156319,0.0001918387,0.0001226582,0.0003365593,0.0003470082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009802409,"about_ca_system_score_gemma":0.000006052541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001222899,"about_ca_topic_score_gemma":0.0000335372,"domain_scores_codex":[0.9988157,0.00003787962,0.0001045219,0.0003457519,0.000416944,0.0002792243],"domain_scores_gemma":[0.9994978,0.00003118989,0.00004931961,0.0002262385,0.00001008498,0.0001853171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008084985,0.0001621075,0.8893503,0.000002063593,0.0000058982,0.000008765694,0.0001201369,0.00002637847,0.0003155634,0.00000186518,0.1087912,0.001134854],"study_design_scores_gemma":[0.004226265,0.0002048375,0.4782478,0.00002901655,0.00002444398,0.0000671563,0.00008915185,0.004729609,0.01239556,0.004903552,0.4942964,0.0007862562],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954838,0.0001308216,0.00003309294,0.0002586677,0.000583947,0.0001793237,0.0001156267,0.00007601121,0.003138668],"genre_scores_gemma":[0.9986075,0.00001252635,0.000169891,0.0001479671,0.00006593593,0.000008138066,0.0001878085,0.00001205738,0.0007881953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4111025,"threshold_uncertainty_score":0.4460833,"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."}}