{"id":"W4240259241","doi":"10.2217/epi.12.24c1","title":"Corrigendum","year":2016,"lang":"en","type":"erratum","venue":"Epigenomics","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Norgen Biotek Corporation (Canada)","funders":"","keywords":"Biology; Computational biology","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004147652,0.0007160046,0.0007938703,0.0003493132,0.0001790137,0.00009489853,0.001176939,0.001207744,0.002998229],"category_scores_gemma":[0.0001472196,0.0006134867,0.0003642278,0.0001887416,0.0001878211,0.0001042402,0.0003189391,0.001218019,0.2074471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001288152,"about_ca_system_score_gemma":0.001186863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005814769,"about_ca_topic_score_gemma":0.0001702101,"domain_scores_codex":[0.9969411,0.0001052879,0.0005889851,0.0008904171,0.0004583554,0.001015794],"domain_scores_gemma":[0.9972788,0.0000381004,0.0006022271,0.001619011,0.000161364,0.0003005],"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":[0.00002716158,0.00003025054,0.00002688069,0.00003476099,0.0001234782,0.00005200386,0.00009416647,3.654332e-7,0.0002782654,0.0007116969,0.9960318,0.002589177],"study_design_scores_gemma":[0.0002561363,0.00003353873,0.0001537549,0.0001176099,0.00008210808,0.00001404396,0.00001097934,0.00001323572,0.00009444047,0.001485763,0.9968859,0.0008525019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004135419,0.005160603,0.0001893556,0.0001255093,0.264349,0.0004454812,0.003648624,0.0005411517,0.7254989],"genre_scores_gemma":[0.00005937957,0.00176064,0.0002833288,0.0002206124,0.01503681,0.00003743338,0.001487933,0.0009025927,0.9802113],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2547124,"threshold_uncertainty_score":0.9996316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03214653259329973,"score_gpt":0.2557258357759162,"score_spread":0.2235793031826164,"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."}}