{"id":"W2289761610","doi":"10.1016/j.margen.2016.01.004","title":"Epigenomics in marine fishes","year":2016,"lang":"en","type":"review","venue":"Marine Genomics","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":86,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Epigenomics; Biology; Epigenetics; DNA methylation; Evolutionary biology; Context (archaeology); Phenotypic plasticity; Ecology; Computational biology; Genetics; Gene","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003513839,0.0004715613,0.0008980731,0.0001738802,0.00004421064,0.00004047818,0.0004550921,0.0005609734,0.0001324343],"category_scores_gemma":[0.00008479698,0.0004029596,0.0003498817,0.0001256289,0.00005520931,0.000002345205,0.001085583,0.0002095781,0.0001089342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001595064,"about_ca_system_score_gemma":0.0003110446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004863199,"about_ca_topic_score_gemma":0.0002726441,"domain_scores_codex":[0.9979771,0.0001119553,0.0007302352,0.0006653598,0.00009655701,0.0004188148],"domain_scores_gemma":[0.9987227,0.00004100314,0.0003096246,0.0007751518,0.00004560269,0.000105933],"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":[0.00001284047,0.00003338179,0.0003259522,0.0008032492,0.00006667445,0.000006937068,0.000005078153,0.00000520075,0.0002668766,0.0000416579,0.0001185095,0.9983137],"study_design_scores_gemma":[0.0002469244,0.00007687022,0.0001328615,0.0002565659,0.00006882562,0.000007057898,0.000001723302,0.000001954842,0.0003918632,0.0004277024,0.9978958,0.0004918394],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001586724,0.9890836,0.0001309588,0.00002645406,0.0003671681,0.0005519516,0.00007934406,0.00001215437,0.00816168],"genre_scores_gemma":[0.00003240945,0.9927503,0.001364093,0.00003024058,0.0007613167,0.00006944528,0.001351632,0.0001242508,0.003516238],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9978218,"threshold_uncertainty_score":0.9998422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0220590157112648,"score_gpt":0.2885203959105949,"score_spread":0.2664613801993301,"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."}}