{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006153138,0.000764978,0.00116463,0.001472948,0.0001706253,0.0009146908,0.0008340032,0.001138686,0.002456732],"category_scores_gemma":[0.0007509979,0.0002882,0.0002481953,0.00206407,0.000614979,0.001113271,0.0008866726,0.001184732,0.0009125777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007840886,"about_ca_system_score_gemma":0.0009806644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001941688,"about_ca_topic_score_gemma":0.00296355,"domain_scores_codex":[0.9999039,0.00001495021,0.00001109499,0.00003073932,0.0000284866,0.00001081223],"domain_scores_gemma":[0.9997661,0.0001276173,0.00003432424,0.000007187386,0.00004049988,0.00002428567],"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":[0.0001141103,0.0000269056,0.0002745606,0.01186677,0.0001202691,0.0001937406,0.00005115728,0.0006952539,0.002683123,0.009569515,0.02619758,0.948207],"study_design_scores_gemma":[0.0000281072,0.00005785214,0.00196273,0.00291858,0.0001910493,0.0007852706,0.00005425467,0.0001867011,0.0006997566,0.007566967,0.9855182,0.00003042621],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007328892,0.999121,0.0001113597,0.0002278137,0.00009435952,0.000001006037,0.0000134241,0.000003215475,0.000354521],"genre_scores_gemma":[0.000599053,0.998599,0.0001030069,0.0001766855,0.000208723,0.00000226928,0.00003198887,8.817411e-7,0.0002783805],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002456732,"threshold_uncertainty_score":0.008218586,"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."}}