{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007167317,0.001286114,0.0008009539,0.002748542,0.003771769,0.006331063,0.002435533,0.004259841,0.05365354],"category_scores_gemma":[0.07775651,0.0005183744,0.0007430391,0.003496098,0.00356459,0.004148759,0.00303753,0.0105096,0.03063518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004238412,"about_ca_system_score_gemma":0.006715011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0170916,"about_ca_topic_score_gemma":0.01925652,"domain_scores_codex":[0.9916564,0.002006029,0.0007896749,0.00114953,0.003788911,0.0006095156],"domain_scores_gemma":[0.9608704,0.009913436,0.001375671,0.003876734,0.02245153,0.001512218],"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":[0.00001949721,0.000001753048,0.00006025414,0.00005163881,0.000005587633,0.0001349885,0.00009172662,0.00004425962,0.00004053435,0.0164008,0.9751203,0.008028712],"study_design_scores_gemma":[0.000007527912,0.000002932271,0.00007798272,0.00009601842,0.000005632186,0.0001812164,0.00006215191,0.00004993351,0.0001414447,0.005594524,0.9937676,0.00001305268],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0004245902,0.003947758,0.004140219,0.3218242,0.6281456,0.00002202152,0.00353759,0.0009501004,0.03700789],"genre_scores_gemma":[0.03905992,0.01781385,0.01769437,0.2709423,0.2105294,0.000191899,0.008142423,0.007503715,0.4281221],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05365354,"threshold_uncertainty_score":0.179489,"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."}}