{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006923742,0.00007261572,0.0000962817,0.00002851406,0.0001376161,0.00004353646,0.0001084251,0.00006052608,0.0001115571],"category_scores_gemma":[0.00006678201,0.00003034787,0.00001757747,0.0002310412,0.0000676503,0.00004697021,0.0001272046,0.00005605308,0.00002513166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001252246,"about_ca_system_score_gemma":0.000006357425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009875601,"about_ca_topic_score_gemma":0.002757307,"domain_scores_codex":[0.9994708,0.0001076518,0.00009839692,0.0001476818,0.00004406511,0.000131447],"domain_scores_gemma":[0.9994569,0.0004341412,0.00001399829,0.00002593383,0.00002059222,0.00004840022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000903433,0.00006472433,0.6792497,0.00001426327,0.00001764858,0.000008368984,0.001432012,0.000001544549,0.3176578,0.001116841,0.00002014961,0.0003266408],"study_design_scores_gemma":[0.00007466137,0.0002685519,0.9931024,0.00002018278,0.000009777174,0.000004335567,0.0007192097,0.00002756811,0.0009670897,0.002545873,0.002163372,0.00009694599],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969447,0.0002584163,0.000001136581,0.002033692,0.00005769126,0.0001301995,0.0004600243,0.00003918894,0.00007494643],"genre_scores_gemma":[0.9993843,0.0002506321,0.00002517719,0.0001670263,0.00003364339,0.000009745647,0.0001106449,2.499112e-7,0.00001858978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3166907,"threshold_uncertainty_score":0.1538642,"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."}}