{"id":"W4405281838","doi":"10.1371/journal.pbio.3002927","title":"Genome size influences plant growth and biodiversity responses to nutrient fertilization in diverse grassland communities","year":2024,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Agence Nationale de la Recherche; National Science Foundation; Science Foundation Ireland; CHIST-ERA; Natural Sciences and Engineering Research Council of Canada; Department of Agriculture, Environment and Rural Affairs, UK Government; Analyses et Expérimentations pour les Ecosystèmes; Deutsche Forschungsgemeinschaft; UK Research and Innovation; Queen Mary University of London","keywords":"Biology; Grassland; Genome size; Genome; Nutrient; Biodiversity; Ecology; Ecosystem; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002938571,0.0001997615,0.0002518895,0.0007001681,0.0002881097,0.0003009346,0.0002203671,0.0002486475,0.0006052159],"category_scores_gemma":[0.0007220777,0.0001878965,0.0001671919,0.0003267752,0.0004266308,0.0003029977,0.0005356434,0.0001824659,0.00005463656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004140786,"about_ca_system_score_gemma":0.0001576685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003503189,"about_ca_topic_score_gemma":0.01153747,"domain_scores_codex":[0.9997728,0.00006402134,0.00001011439,0.00009569183,0.00002634315,0.00003099873],"domain_scores_gemma":[0.9995321,0.0001787872,0.0001320869,0.00003597186,0.00003224244,0.00008869122],"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":[0.0006165847,0.000057802,0.2590846,0.00006063869,0.0001368794,0.00009827437,0.00040555,0.001066908,0.7316552,0.0001568079,0.00004648585,0.006614376],"study_design_scores_gemma":[0.0000058902,0.00009563388,0.9952778,0.000001647838,0.00002104804,0.00005106635,0.0001171708,0.001102425,0.003110097,0.00008473032,0.0001260126,0.000006457236],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997883,0.00001886096,0.00007171877,0.000002911358,2.41396e-7,0.000001123899,0.00003916015,0.000003020772,0.0000747124],"genre_scores_gemma":[0.9994748,0.00002003442,0.0002798481,0.000007802046,7.450762e-7,0.000005109183,0.0001414523,0.000003400241,0.00006681459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003503189,"threshold_uncertainty_score":0.006965637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03717196281797294,"score_gpt":0.2263688392065544,"score_spread":0.1891968763885815,"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."}}