{"id":"W3086868344","doi":"10.1038/s41592-020-0969-7","title":"Author Correction: Nested designs","year":2020,"lang":"en","type":"erratum","venue":"Nature Methods","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Computer science; Nested polymerase chain reaction; Nested case-control study; Nested set model; Computational biology; Biology; Programming language; Genetics; Mathematics; Statistics; Gene; Polymerase chain reaction","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":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0003801171,0.0004356217,0.0006353746,0.00009891842,0.0000632037,0.00005495052,0.0002736825,0.002678259,0.0002125918],"category_scores_gemma":[0.0004961319,0.0004198296,0.0001456102,0.0003471123,0.00001226055,0.00006814925,0.00005850955,0.003687342,0.00004144792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001181738,"about_ca_system_score_gemma":0.0000755698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001116758,"about_ca_topic_score_gemma":0.000002518597,"domain_scores_codex":[0.9986137,0.0001999241,0.0002954569,0.0003716015,0.0001969824,0.0003223945],"domain_scores_gemma":[0.9991722,0.0001321589,0.00008487528,0.0003757206,0.00007810006,0.0001570189],"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":[0.000008523184,0.000003815427,2.196744e-8,0.0002479802,0.00004933758,0.00002108713,0.00004822857,0.0003454901,0.008520931,0.0003119121,0.9516867,0.03875596],"study_design_scores_gemma":[0.00008505959,0.00003590812,0.000001979624,0.0001076691,0.00008748609,0.00002413034,0.00001451502,0.01309196,0.01554873,0.001056565,0.9695238,0.000422161],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[4.223655e-7,0.007119592,0.6024992,0.0001172763,0.3674598,0.000199415,0.00002429897,0.0009572788,0.02162271],"genre_scores_gemma":[0.00002474385,0.0007535021,0.7100808,0.0004458789,0.009542792,0.00006176648,0.0003651988,0.0002988052,0.2784265],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.357917,"threshold_uncertainty_score":0.9998254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03633050982380141,"score_gpt":0.3642657112553708,"score_spread":0.3279352014315694,"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."}}