{"id":"W3001037434","doi":"10.1007/s00122-020-03549-5","title":"Epigenomic landscape and epigenetic regulation in maize","year":2020,"lang":"en","type":"review","venue":"Theoretical and Applied Genetics","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Biotechnology Research Institute","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Epigenetics; Biology; Epigenomics; DNA methylation; Histone; Chromatin; Biotechnology; Computational biology; Adaptability; Genetics; Gene; Gene expression; Ecology","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":[0.0002189765,0.0002662158,0.0007305286,0.00002229647,0.00006500744,0.0000454699,0.0001973195,0.0003549885,0.0001597366],"category_scores_gemma":[0.00001725973,0.0001054365,0.00006200878,0.000205554,0.0003990201,0.000004841484,0.0002554891,0.0002976407,0.00004525827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001011236,"about_ca_system_score_gemma":0.00001550058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001171823,"about_ca_topic_score_gemma":0.000007115441,"domain_scores_codex":[0.9985938,0.0001642168,0.0003060546,0.0004962865,0.0001169279,0.0003227145],"domain_scores_gemma":[0.9993615,0.0003320329,0.00006244077,0.00006284434,0.00000852611,0.0001727222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001624755,0.00001358862,0.00003694161,0.0003307507,0.00001390331,0.000006448546,0.00001021821,2.010375e-7,0.001103465,0.01406713,0.00001901204,0.9843821],"study_design_scores_gemma":[0.0002535513,0.0002909053,0.002173621,0.0005982227,0.0001780369,0.00009240014,0.00002914259,0.0001493484,0.0001466118,0.03612986,0.9592217,0.0007366691],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008638975,0.9893876,0.000009567901,0.0002649702,0.00001520379,0.0005768475,0.00007100701,0.00002036377,0.001015432],"genre_scores_gemma":[0.02442313,0.9750118,0.0001318917,0.0000613391,0.0001245129,0.00003763769,0.0001885026,0.000003349619,0.00001783554],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9836454,"threshold_uncertainty_score":0.4299575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01879595882368464,"score_gpt":0.254218962206219,"score_spread":0.2354230033825343,"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."}}