{"id":"W4380876696","doi":"10.1038/s44222-023-00072-2","title":"Engineering the gut microbiome","year":2023,"lang":"en","type":"article","venue":"Nature Reviews Bioengineering","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":73,"is_retracted":false,"has_abstract":false,"ca_institutions":"Global Institute for Water Security; Concordia University; University of Saskatchewan","funders":"","keywords":"Microbiome; Dysbiosis; Human Microbiome Project; Gut microbiome; Biology; Computational biology; Gut flora; Fecal bacteriotherapy; Disease; Human microbiome; Metagenomics; Bioinformatics; Immunology; Medicine; Genetics; Gene; Antibiotics; Pathology","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":[0.0005192611,0.0004725023,0.0004485665,0.0003714867,0.0002786025,0.00142821,0.0003339546,0.001019017,0.002369485],"category_scores_gemma":[0.000482592,0.0002456654,0.0004660711,0.0002234347,0.0007471691,0.00100243,0.001113444,0.001590631,0.0009785583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003164668,"about_ca_system_score_gemma":0.0003729791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002139006,"about_ca_topic_score_gemma":0.0003486759,"domain_scores_codex":[0.9997445,0.00006102316,0.00001152374,0.00004674451,0.00008998809,0.00004625798],"domain_scores_gemma":[0.9998581,0.00003448122,0.00003086478,0.00002141617,0.00002004336,0.0000349946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002160532,0.0001565864,0.001020194,0.001628937,0.000122478,0.0002901567,0.0001318163,0.001064675,0.7142763,0.06362645,0.01308603,0.2043804],"study_design_scores_gemma":[0.00007200499,0.000712956,0.002525975,0.0005158881,0.0001711488,0.001089431,0.0002434785,0.002150537,0.3392461,0.0380809,0.6151401,0.00005156291],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2055609,0.4891192,0.1768593,0.03221542,0.01368937,0.0002717531,0.001011586,0.001749555,0.07952294],"genre_scores_gemma":[0.6386244,0.2587456,0.055235,0.008385673,0.001535607,0.0002204623,0.0005626536,0.0002476286,0.03644305],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002369485,"threshold_uncertainty_score":0.007926762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0091709245836775,"score_gpt":0.269636070762264,"score_spread":0.2604651461785865,"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."}}