{"id":"W4311116339","doi":"10.1038/s41467-022-32342-9","title":"Author Correction: Integrative pathway enrichment analysis of multivariate omics data","year":2022,"lang":"en","type":"erratum","venue":"Nature Communications","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Prostate Cancer Canada; Université de Montréal; Hospital for Sick Children; Genome Canada; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; Princess Margaret Cancer Centre; University of Calgary; Canada Research Chairs; Vector Institute; Canada's Michael Smith Genome Sciences Centre; University of Ottawa; McGill University; Simon Fraser University; McGill University and Génome Québec Innovation Centre; Toronto General Hospital; University Health Network; BC Cancer Agency; SickKids Foundation; University of Toronto; Institute of Cancer Research; Ontario Institute for Cancer Research","funders":"Medical Research Council","keywords":"Multivariate statistics; Computational biology; Multivariate analysis; Omics; Computer science; Data science; Data mining; Bioinformatics; Biology; Machine learning","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":[0.006684952,0.002314176,0.001521742,0.004401561,0.003241297,0.004481708,0.003512787,0.003361506,0.1048615],"category_scores_gemma":[0.09281405,0.001239634,0.001518645,0.004674342,0.001838312,0.002476342,0.00361952,0.00909762,0.05017697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002438298,"about_ca_system_score_gemma":0.005927823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01179056,"about_ca_topic_score_gemma":0.0192716,"domain_scores_codex":[0.9918493,0.001177836,0.001099007,0.00128253,0.004228894,0.0003624463],"domain_scores_gemma":[0.9412676,0.01321394,0.001961256,0.00633663,0.03563241,0.001588168],"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":[0.00002991208,0.000007266598,0.0001367857,0.0001111758,0.00001851919,0.0002525762,0.00004204419,0.0001061321,0.0001618975,0.001225001,0.98857,0.009338603],"study_design_scores_gemma":[0.00003991232,0.00001048752,0.0005840113,0.0002611187,0.00004907015,0.001094084,0.00007634757,0.0006533896,0.00118368,0.003660462,0.9923379,0.00004966936],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0005505027,0.000810793,0.01456868,0.03619057,0.9291579,0.00006538613,0.008736961,0.00381984,0.006099381],"genre_scores_gemma":[0.04287712,0.007643538,0.1109678,0.08579884,0.1478046,0.0006624761,0.04387653,0.0276089,0.5327602],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1048615,"threshold_uncertainty_score":0.3507966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02488022910841539,"score_gpt":0.3188167902508539,"score_spread":0.2939365611424385,"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."}}