{"id":"W4303431640","doi":"10.1016/j.chom.2022.09.011","title":"Enhanced cultured diversity of the mouse gut microbiota enables custom-made synthetic communities","year":2022,"lang":"en","type":"article","venue":"Cell Host & Microbe","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":113,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Interdisziplinäres Zentrum für Klinische Forschung, Universitätsklinikum Würzburg; Deutsche Forschungsgemeinschaft","keywords":"Biology; Microbiome; Metagenomics; Bacteria; Gut flora; Phenotype; Immune system; Host (biology); Gut bacteria; Microbiology; Strain (injury); Pathogen; Computational biology; Genetics; Immunology; Gene; Anatomy","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":[0.0003159663,0.0004015138,0.0002575191,0.0002273271,0.0001548184,0.0006491963,0.0003863272,0.0004460321,0.001140295],"category_scores_gemma":[0.0002990062,0.0002383546,0.000308528,0.0001545982,0.0002430458,0.0002951051,0.0006930811,0.0006331665,0.0005105248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002677244,"about_ca_system_score_gemma":0.0001933907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002007624,"about_ca_topic_score_gemma":0.0006200245,"domain_scores_codex":[0.9997174,0.00003514502,0.00001350459,0.00007843982,0.00009670648,0.00005886245],"domain_scores_gemma":[0.9997584,0.00004099464,0.00007023405,0.00003224784,0.00002904633,0.00006910813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002599404,0.0000147111,0.00006521442,0.00001502209,0.000002469124,0.00001093262,0.00000814065,0.0001512012,0.9987733,0.0001238844,0.00002158369,0.0007876059],"study_design_scores_gemma":[0.000009200766,0.0001212235,0.0005472864,0.000004845347,0.000007925658,0.00004164558,0.00001841323,0.001522156,0.9951272,0.0001035262,0.002489625,0.000006870227],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9615665,0.0006538663,0.03321923,0.0001237071,0.000100672,0.0000798664,0.0006149973,0.0005249066,0.003116396],"genre_scores_gemma":[0.9690551,0.0003586779,0.02684464,0.00008883994,0.00001514002,0.0001155695,0.0004532196,0.0001232751,0.002945625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001140295,"threshold_uncertainty_score":0.003814697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008017853254379207,"score_gpt":0.205539200529639,"score_spread":0.1975213472752598,"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."}}