{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005809116,0.0001634926,0.0002082718,0.0002263042,0.0001859319,0.0002319315,0.0001251603,0.000200867,0.001534504],"category_scores_gemma":[0.0000935986,0.0001321793,0.0001232483,0.0001920454,0.0001782424,0.0001551537,0.0002643467,0.0002625595,0.0002746643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001991924,"about_ca_system_score_gemma":0.0001188167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001591546,"about_ca_topic_score_gemma":0.002767721,"domain_scores_codex":[0.9999206,0.000005681615,0.00000356442,0.00003748887,0.0000160024,0.00001662369],"domain_scores_gemma":[0.9999205,0.00001263602,0.00002586986,0.000008399116,0.00001940676,0.00001319444],"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":[0.00005270803,0.000003980021,0.0008755955,0.0000237072,0.000003297537,0.00002612145,0.00003552984,0.00003048163,0.9979715,0.00004992538,0.00004173435,0.000885445],"study_design_scores_gemma":[0.00002218306,0.0002598915,0.5562469,0.0000329983,0.00004973712,0.0003704677,0.0005819696,0.002331303,0.4319927,0.0004784424,0.007592193,0.00004103588],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928488,0.0008849399,0.002402474,0.00006503962,0.00001504228,0.0000118202,0.002081347,0.0001265082,0.001564128],"genre_scores_gemma":[0.9949529,0.0002593548,0.0007705212,0.00008284838,0.000006092174,0.00002874545,0.001535765,0.00003469017,0.002329133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001591546,"threshold_uncertainty_score":0.00513339,"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."}}