{"id":"W3128211347","doi":"10.1038/s41467-021-21052-3","title":"Author Correction: Characterising the loss-of-function impact of 5’ untranslated region variants in 15,708 individuals","year":2021,"lang":"en","type":"erratum","venue":"Nature Communications","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute; University of Ottawa","funders":"British Heart Foundation","keywords":"Function (biology); Computational biology; Untranslated region; Biology; Loss function; Genetics; Gene; Messenger RNA; Phenotype","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":["research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0004930214,0.0002425032,0.000359944,0.0001688346,0.000149864,0.0000336525,0.001079183,0.001548165,0.00002482844],"category_scores_gemma":[0.0007002925,0.0001954497,0.0002455563,0.0005617692,0.0001878979,0.0000104539,0.0003514478,0.002750534,0.000001604134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004988763,"about_ca_system_score_gemma":0.000510586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001023039,"about_ca_topic_score_gemma":0.000316315,"domain_scores_codex":[0.9982931,0.0004735829,0.0006342584,0.0002058916,0.0002149572,0.0001781967],"domain_scores_gemma":[0.9963191,0.0001149154,0.0008318748,0.002326532,0.0003721107,0.00003543164],"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":[0.0001873885,0.0005382224,0.05298463,0.0003343644,0.001286924,0.000003186987,0.001842903,0.0005762074,0.009249304,0.0003874721,0.9257287,0.006880667],"study_design_scores_gemma":[0.000697261,0.0004272466,0.3997959,0.001082928,0.0003230278,0.0001441725,0.000209272,0.004267727,0.0007259528,0.00007033537,0.5916883,0.0005679248],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3299435,0.3193437,0.0133238,0.03606378,0.1352583,0.009944137,0.003468431,0.000435026,0.1522194],"genre_scores_gemma":[0.9759191,0.003893289,0.0008917497,0.0001471034,0.0003148383,0.00002643425,0.01077927,0.00004920657,0.007979051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6459756,"threshold_uncertainty_score":0.9997481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01769091645277009,"score_gpt":0.3247044778474423,"score_spread":0.3070135613946722,"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."}}