{"id":"W3182319306","doi":"10.1073/pnas.2023718118","title":"Negative effects of nitrogen override positive effects of phosphorus on grassland legumes worldwide","year":2021,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Legume Nitrogen Fixing Symbiosis","field":"Agricultural and Biological Sciences","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Institute on the Environment, University of Minnesota; Agricultural Research Service; Agence Nationale de la Recherche; U.S. Department of Agriculture; Universidad de Buenos Aires; Consejo Nacional de Investigaciones Científicas y Técnicas; National Science Foundation","keywords":"Nutrient; Grassland; Phosphorus; Legume; Biomass (ecology); Ecosystem; Biodiversity; Agronomy; Environmental science; Agroforestry; 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":[0.0005039296,0.0001461864,0.000319044,0.00005045155,0.000152036,0.00001742919,0.0006468481,0.00009950442,0.000009949002],"category_scores_gemma":[0.001920756,0.00005864706,0.0001961939,0.001321326,0.0007037648,0.0002568372,0.0001752443,0.0001541424,9.845713e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003452573,"about_ca_system_score_gemma":0.00002143346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007862425,"about_ca_topic_score_gemma":0.000001138149,"domain_scores_codex":[0.9979032,0.00003240209,0.0003589726,0.0003112111,0.001196466,0.0001977674],"domain_scores_gemma":[0.9969825,0.001805981,0.0006563601,0.000007980191,0.0005012067,0.00004593334],"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":[0.00003596457,0.0001536573,0.02550845,0.00009770859,0.00005544577,6.626171e-8,0.0001279911,0.000001296451,0.9660376,0.006605708,0.0002388744,0.00113723],"study_design_scores_gemma":[0.0001678915,0.000185987,0.2738889,0.0003217301,0.00002664917,0.000002490897,0.00007828539,0.000006864237,0.7004554,0.02478735,0.000009468603,0.0000690253],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955873,0.0005563078,3.789651e-8,0.001741273,0.00003611155,0.0002591628,0.00004163466,0.000008730587,0.001769444],"genre_scores_gemma":[0.9992977,0.00003979632,0.0002681042,0.00026459,0.00005524823,0.0000109184,5.920334e-7,0.000001124076,0.00006187064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2655822,"threshold_uncertainty_score":0.2593051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172544177972657,"score_gpt":0.2390109620524184,"score_spread":0.2272855202726919,"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."}}