{"id":"W2818381463","doi":"10.1038/s41586-018-0295-8","title":"Author Correction: Genome-wide changes in lncRNA, splicing, and regional gene expression patterns in autism","year":2018,"lang":"en","type":"erratum","venue":"Nature","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"RNA splicing; Autism; Gene; Alternative splicing; Genome; Computational biology; Biology; Genetics; Table (database); Expression (computer science); Gene expression; Evolutionary biology; Computer science; Psychology; RNA; Messenger RNA; Data mining; Developmental psychology","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":[0.003762958,0.001770152,0.001844135,0.002928553,0.003040467,0.002888506,0.003851827,0.006047651,0.0561791],"category_scores_gemma":[0.04625865,0.001025129,0.001692188,0.001696317,0.002025424,0.001913718,0.002170301,0.009303659,0.0219983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003252425,"about_ca_system_score_gemma":0.004311094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01233769,"about_ca_topic_score_gemma":0.01720872,"domain_scores_codex":[0.9965069,0.0004563184,0.0006408819,0.000561301,0.001494326,0.0003403444],"domain_scores_gemma":[0.9780155,0.005553692,0.001243923,0.001476771,0.01254885,0.001161326],"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":[0.00007292423,0.000007086082,0.00019778,0.0001482239,0.00002555596,0.0009474254,0.00004831784,0.00006975608,0.0001314048,0.0007741069,0.9917281,0.005849395],"study_design_scores_gemma":[0.0001315679,0.00004330754,0.002559813,0.0005091248,0.0001337017,0.003651348,0.0002336778,0.0006323095,0.001388173,0.002898037,0.987727,0.00009194807],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0003215271,0.0005395188,0.000795821,0.04022063,0.955291,0.00001441619,0.001009908,0.0003828951,0.001424385],"genre_scores_gemma":[0.04541701,0.008792185,0.01452119,0.1053315,0.4180287,0.0003526918,0.006121175,0.004133074,0.3973025],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0561791,"threshold_uncertainty_score":0.1879379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01170409682138307,"score_gpt":0.28209768838422,"score_spread":0.2703935915628369,"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."}}