{"id":"W4280530386","doi":"10.1002/pld3.393","title":"Sorghum root epigenetic landscape during limiting phosphorus conditions","year":2022,"lang":"en","type":"article","venue":"Plant Direct","topic":"Plant nutrient uptake and metabolism","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"Agricultural Research Service; Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Government of Canada; Canada Excellence Research Chairs, Government of Canada; U.S. Department of Agriculture","keywords":"Sorghum; Limiting; Phosphorus; Root (linguistics); Agronomy; Environmental science; Agricultural engineering; Biology; Chemistry; Engineering; Philosophy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001566307,0.0001196791,0.0001702634,0.00001830932,0.0008144805,0.00003793739,0.0002005125,0.00002930109,0.001585981],"category_scores_gemma":[0.00002648607,0.00005494331,0.00008395364,0.0002273722,0.00001422227,0.0000504921,0.000112039,0.0001484925,0.00006061088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000156087,"about_ca_system_score_gemma":0.000006942378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007114541,"about_ca_topic_score_gemma":0.00008456434,"domain_scores_codex":[0.9989281,0.00007845288,0.0001631407,0.0002577473,0.0002279051,0.0003446932],"domain_scores_gemma":[0.9996009,0.0001779702,0.00007048954,0.00004643667,0.00001274173,0.00009147658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002394364,0.0005955998,0.2513285,0.00001537292,0.0001167176,0.0004398899,0.0004973208,0.0003230722,0.6960945,0.001088001,0.02279928,0.02646229],"study_design_scores_gemma":[0.0002244235,0.00007883402,0.4699546,0.00001112685,0.00002652516,0.0001171206,0.0003285307,0.00007088058,0.01526532,0.00009850164,0.5135617,0.0002624997],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864628,0.002466291,1.019357e-7,0.000268926,0.0003459347,0.0001321796,0.001885589,0.000133132,0.008305009],"genre_scores_gemma":[0.996987,0.0004302826,0.000005571644,0.0001238537,0.000229288,0.00006668742,0.0009310186,0.000001252744,0.001224978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6808292,"threshold_uncertainty_score":0.9993267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01482460144962257,"score_gpt":0.1927600366927667,"score_spread":0.1779354352431441,"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."}}