{"id":"W3030441098","doi":"10.1038/s41587-020-0548-6","title":"PICRUSt2 for prediction of metagenome functions","year":2020,"lang":"en","type":"letter","venue":"Nature Biotechnology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6537,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institute on Alcohol Abuse and Alcoholism","keywords":"Metagenomics; Computational biology; Biology; Computer science; Genetics; Gene","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":[0.004619968,0.001201319,0.001414233,0.0007763943,0.001215323,0.002512453,0.001542185,0.01092196,0.008579769],"category_scores_gemma":[0.02237473,0.0008372515,0.00125027,0.0004645163,0.001418687,0.001903102,0.001710934,0.01340848,0.01166773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001586998,"about_ca_system_score_gemma":0.0009011187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001563045,"about_ca_topic_score_gemma":0.002774465,"domain_scores_codex":[0.9973969,0.0006777926,0.0001831434,0.0003351786,0.001166347,0.0002405417],"domain_scores_gemma":[0.9912112,0.005663192,0.0002268346,0.0007460411,0.001307002,0.0008456318],"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":[0.0006256591,0.00004314598,0.0007026747,0.00009198343,0.00006274411,0.0004993659,0.00003465238,0.0003853407,0.002631481,0.00439783,0.9454089,0.04511622],"study_design_scores_gemma":[0.0008079321,0.0001940509,0.001198591,0.0002408059,0.0001447992,0.001210275,0.00005512172,0.0172748,0.009895594,0.04499556,0.9238437,0.0001387748],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.00384182,0.01440469,0.03683719,0.707111,0.2151695,0.0001963862,0.002755933,0.004342414,0.01534108],"genre_scores_gemma":[0.0499819,0.00704856,0.05784526,0.6817755,0.136215,0.001524613,0.002874344,0.001871235,0.06086353],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01092196,"threshold_uncertainty_score":0.02870214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0108842660738758,"score_gpt":0.2433313525595613,"score_spread":0.2324470864856855,"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."}}