{"id":"W2464743369","doi":"10.1038/srep27163","title":"Correction: Corrigendum: Intrinsic challenges in ancient microbiome reconstruction using 16S rRNA gene amplification","year":2016,"lang":"en","type":"erratum","venue":"Scientific Reports","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"European union; Library science; Section (typography); Political science; Microbiome; Computational biology; Bioinformatics; Medicine; Biology; Computer science; Business","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":[0.004758837,0.002492226,0.001675087,0.003355593,0.002501709,0.004030196,0.003685968,0.00670453,0.05255517],"category_scores_gemma":[0.06703293,0.001051898,0.0017997,0.001756439,0.00291239,0.00263021,0.002844014,0.009929975,0.02942121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002753174,"about_ca_system_score_gemma":0.004326526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007992428,"about_ca_topic_score_gemma":0.007966746,"domain_scores_codex":[0.9950648,0.0008982139,0.0008413865,0.0008964482,0.00181335,0.0004858112],"domain_scores_gemma":[0.9777914,0.00669994,0.001705606,0.001691462,0.01090854,0.001203066],"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":[0.00003691072,0.000006223898,0.0001145163,0.0001411006,0.0000184227,0.0003756198,0.00004235816,0.0000420513,0.00008583219,0.0005005707,0.9919321,0.006704397],"study_design_scores_gemma":[0.00004226757,0.00002453238,0.0007473588,0.0004174151,0.00006579451,0.001323217,0.0001069192,0.0003260339,0.0007365692,0.001574038,0.9945911,0.00004474806],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0002173003,0.0009075585,0.0009447313,0.05772766,0.9374179,0.00002130891,0.0007126019,0.0004707745,0.001580115],"genre_scores_gemma":[0.02658079,0.009577449,0.008347984,0.1572167,0.6328238,0.0003228415,0.003644861,0.002541667,0.1589439],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05255517,"threshold_uncertainty_score":0.1758146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04247398115856816,"score_gpt":0.274280335415781,"score_spread":0.2318063542572129,"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."}}