{"id":"W4245408540","doi":"10.1038/s41587-021-00898-4","title":"Author Correction: A genomic catalog of Earth’s microbiomes","year":2021,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; University of Windsor; University of Waterloo; Geological Survey of Canada; Natural Resources Canada; University of Calgary; Agriculture and Agri-Food Canada; University of British Columbia; Institut National de la Recherche Scientifique; University of Toronto; McMaster University","funders":"","keywords":"Microbiome; Computational biology; Biology; Genetics; Evolutionary biology; Library science; Computer science","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":[0.005087174,0.001483015,0.001369734,0.004719395,0.003338618,0.005681076,0.003114699,0.00428874,0.07621466],"category_scores_gemma":[0.07983764,0.000965278,0.001485125,0.004050435,0.002267348,0.003044138,0.003966207,0.01025024,0.04118694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002511389,"about_ca_system_score_gemma":0.007281074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007243293,"about_ca_topic_score_gemma":0.01163174,"domain_scores_codex":[0.9929222,0.0008780872,0.0009729593,0.00112295,0.003534226,0.0005695228],"domain_scores_gemma":[0.9465153,0.01179606,0.002710122,0.004656689,0.03141164,0.002910142],"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":[0.00002411008,0.000003362542,0.0001128749,0.0001276673,0.00001414614,0.0001619559,0.00004960937,0.00003686227,0.000159861,0.0009974178,0.9921598,0.006152422],"study_design_scores_gemma":[0.0000212976,0.000009212677,0.000500098,0.0002495377,0.00002537325,0.0004558667,0.0000682763,0.0001019063,0.0004413354,0.001386172,0.9967102,0.00003071915],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0003564145,0.001224588,0.002174109,0.05072003,0.9377846,0.0000201631,0.003896088,0.0009290369,0.002894998],"genre_scores_gemma":[0.04018899,0.01566608,0.02577363,0.1340332,0.4508526,0.0004514237,0.02688891,0.009551228,0.296594],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07621466,"threshold_uncertainty_score":0.2549634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005398077843120444,"score_gpt":0.2243138703565673,"score_spread":0.2189157925134468,"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."}}