{"id":"W2967163687","doi":"10.1038/s41587-019-0252-6","title":"Author Correction: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2","year":2019,"lang":"en","type":"erratum","venue":"Nature Biotechnology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":874,"is_retracted":false,"has_abstract":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia; Dalhousie University","funders":"Crohn's and Colitis Canada","keywords":"Microbiome; Scalability; Extensibility; Computer science; Computational biology; Data science; World Wide Web; Biology; Bioinformatics; Database; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":[0.008767511,0.001869489,0.002058681,0.005469726,0.004235572,0.00564235,0.004524964,0.004672475,0.1935872],"category_scores_gemma":[0.1396342,0.00166634,0.001817232,0.004238595,0.002430394,0.002845404,0.00491916,0.007565876,0.08172064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002639714,"about_ca_system_score_gemma":0.007983499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009135594,"about_ca_topic_score_gemma":0.01737331,"domain_scores_codex":[0.9893099,0.001806882,0.00184729,0.001459751,0.004819116,0.0007571269],"domain_scores_gemma":[0.905975,0.02028118,0.003427483,0.009716318,0.05718679,0.003413153],"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":[0.00008654698,0.00001061226,0.0002352822,0.0002921883,0.00003731236,0.0002910528,0.0000800451,0.0001290967,0.0003827382,0.001212437,0.9863912,0.01085155],"study_design_scores_gemma":[0.0001105449,0.00003046618,0.001063638,0.0004475325,0.00008788225,0.000758099,0.0001546503,0.0009683897,0.002636478,0.004412026,0.9892287,0.0001015514],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.001140246,0.0005601632,0.01818714,0.03595803,0.9149414,0.0001387473,0.01534424,0.007719743,0.006010331],"genre_scores_gemma":[0.05729439,0.003797589,0.1387157,0.06478193,0.1259534,0.001577052,0.0586941,0.05107414,0.4981117],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1935872,"threshold_uncertainty_score":0.6476138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02367757145293411,"score_gpt":0.3308653146484274,"score_spread":0.3071877431954933,"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."}}