{"id":"W4210760244","doi":"10.1038/s41467-022-28401-w","title":"Author Correction: Microbiome differential abundance methods produce different results across 38 datasets","year":2022,"lang":"en","type":"erratum","venue":"Nature Communications","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Microbiome; Abundance (ecology); Differential (mechanical device); Computational biology; Computer science; Biology; Bioinformatics; Ecology; Physics","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":[0.01039258,0.002801235,0.002169551,0.005133797,0.00394739,0.004368349,0.004019541,0.004060124,0.1464122],"category_scores_gemma":[0.1493281,0.001560982,0.001640445,0.005637528,0.002197822,0.002606852,0.004249322,0.009456386,0.07096655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002923416,"about_ca_system_score_gemma":0.005715216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01048528,"about_ca_topic_score_gemma":0.01784677,"domain_scores_codex":[0.9861366,0.002440903,0.002255104,0.002145611,0.006443047,0.0005788493],"domain_scores_gemma":[0.9085196,0.02828997,0.004100495,0.009244627,0.04787124,0.001974185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006614677,0.000008514057,0.0001975241,0.0002129613,0.00003394252,0.000292874,0.00007028702,0.00009483116,0.000231625,0.001046935,0.9880123,0.009732056],"study_design_scores_gemma":[0.00008879474,0.00002184944,0.0009650227,0.000532816,0.0001005524,0.001156124,0.0001232377,0.0007654899,0.001785428,0.003882201,0.9904978,0.00008057697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.000695486,0.0009257286,0.01038088,0.03765369,0.9325833,0.0000624474,0.00838225,0.003879442,0.005436831],"genre_scores_gemma":[0.05136677,0.006754942,0.08338867,0.09689988,0.1767036,0.0009876268,0.0395729,0.0313631,0.5129626],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1464122,"threshold_uncertainty_score":0.4897977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02949984393629775,"score_gpt":0.4066570591959692,"score_spread":0.3771572152596714,"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."}}