{"id":"W2898836903","doi":"10.1038/s41467-018-07153-6","title":"Publisher Correction: Inference of RNA decay rate from transcriptional profiling highlights the regulatory programs of Alzheimer’s disease","year":2018,"lang":"en","type":"erratum","venue":"Nature Communications","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill Genome Centre; McGill University; McGill University and Génome Québec Innovation Centre","funders":"","keywords":"Inference; Legend; Computer science; Profiling (computer programming); Computational biology; Artificial intelligence; Medicine; Biology; History; Art history","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":[],"consensus_categories":[],"category_scores_codex":[0.0002379343,0.0002729306,0.0002801841,0.00008243325,0.0002505877,0.00005129454,0.001498757,0.0008175304,0.00003006728],"category_scores_gemma":[0.0001938802,0.0002262085,0.0002920692,0.0002055321,0.0008563528,0.00001374039,0.0002728256,0.0007536202,0.000002315413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001819944,"about_ca_system_score_gemma":0.0008881833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003996988,"about_ca_topic_score_gemma":0.0003944393,"domain_scores_codex":[0.9982532,0.0003398749,0.0005071946,0.0004032767,0.0003117907,0.000184677],"domain_scores_gemma":[0.995257,0.00006449769,0.0004613562,0.002888026,0.00117742,0.0001516838],"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":[0.0001920333,0.0006617592,0.001315586,0.00007690024,0.0004517434,3.907909e-7,0.00009064608,0.000004991261,0.009899252,0.002263061,0.9843462,0.0006975093],"study_design_scores_gemma":[0.0005899661,0.0001381091,0.02786744,0.0003323173,0.0008187813,0.000001048855,0.00009631418,0.00009161934,0.01069396,0.001833695,0.9571057,0.0004310331],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03110978,0.8474097,0.0006373412,0.009102649,0.06991319,0.004209448,0.003504243,0.0001580115,0.03395565],"genre_scores_gemma":[0.9437917,0.01131607,0.001727732,0.0002956365,0.00177877,0.0002654875,0.0327975,0.00006731802,0.007959782],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9126819,"threshold_uncertainty_score":0.9224515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02597004972836129,"score_gpt":0.2914105921988517,"score_spread":0.2654405424704904,"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."}}