{"id":"W4225005262","doi":"10.1038/s41586-021-04213-8","title":"Author Correction: Perspectives on ENCODE","year":2022,"lang":"en","type":"erratum","venue":"Nature","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McGill University; Simon Fraser University; Université de Montréal; Montreal Clinical Research Institute","funders":"National Cancer Institute; National Human Genome Research Institute","keywords":"ENCODE; Computational biology; Computer science; Biology; Genetics; Gene","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0003436685,0.0003390273,0.0002761725,0.0001776147,0.0002461989,0.00006316083,0.000672179,0.004633162,0.001065114],"category_scores_gemma":[0.001009537,0.0002940443,0.0002561211,0.0002061869,0.0001807966,0.000002008182,0.0003917285,0.007694461,0.00007853581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001157394,"about_ca_system_score_gemma":0.0005671098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009047134,"about_ca_topic_score_gemma":0.00002979928,"domain_scores_codex":[0.9976025,0.00009947424,0.0002590426,0.0006136382,0.0009753671,0.0004499283],"domain_scores_gemma":[0.9987155,0.00002665133,0.000139359,0.0006834514,0.0002301035,0.0002048952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009047408,0.00009855055,0.000006534345,0.00006165104,0.00009034567,0.00001036215,0.0002209799,0.000004071015,0.000511121,0.00004131873,0.9939647,0.004899865],"study_design_scores_gemma":[0.0002060278,0.000932063,0.000141008,0.0000390542,0.00002171114,0.00002037097,0.001526652,0.00009083666,0.001156259,0.0000346066,0.995491,0.0003403782],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001213545,0.04204444,0.0001887965,0.009702184,0.2277989,0.001214469,0.001089189,0.0001337268,0.7166147],"genre_scores_gemma":[0.006873411,0.004930317,0.0002076239,0.001770291,0.00722548,0.00005463728,0.003922935,0.00006556396,0.9749497],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.258335,"threshold_uncertainty_score":0.9999512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01069825026958392,"score_gpt":0.3040822790250882,"score_spread":0.2933840287555042,"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."}}