{"id":"W2807059844","doi":"10.1016/s1473-3099(19)30045-3","title":"Microbial evolutionary medicine: from theory to clinical practice","year":2019,"lang":"en","type":"review","venue":"The Lancet Infectious Diseases","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Novo Nordisk Fonden; Lorentz Center; Novo Nordisk; Universiteit Leiden; Lundbeckfonden; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Canada Research Chairs; Koninklijke Nederlandse Akademie van Wetenschappen","keywords":"Microbiome; Context (archaeology); Human microbiome; Antibiotic resistance; Human medicine; Evolutionary medicine; Disease; Human health; Biology; Human disease; Infectious disease (medical specialty); Ecology; Medicine; Bioinformatics; Antibiotics; Microbiology; Evolutionary biology; Environmental health; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003520403,0.001513185,0.002705774,0.003462157,0.0005696958,0.003541501,0.002068329,0.004582119,0.004694251],"category_scores_gemma":[0.005785129,0.0004042701,0.0005960796,0.003395241,0.003360168,0.003886673,0.002454615,0.006227162,0.002073997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002441156,"about_ca_system_score_gemma":0.003098408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001964316,"about_ca_topic_score_gemma":0.003273116,"domain_scores_codex":[0.9991487,0.000300656,0.00008071822,0.0001230639,0.0002821314,0.00006461664],"domain_scores_gemma":[0.994998,0.003784285,0.000205822,0.0001245726,0.0005822929,0.0003050549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009786311,0.00007158343,0.0002353258,0.01238473,0.0001231864,0.0001706475,0.0001459595,0.0005937787,0.0003435767,0.02983039,0.1183906,0.8376123],"study_design_scores_gemma":[0.00004089936,0.00005692172,0.0005179615,0.008220757,0.00007167547,0.0004602403,0.0001544677,0.0001835442,0.0000841494,0.03147136,0.9587024,0.00003563263],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001897063,0.9956427,0.00020417,0.00255667,0.001007064,0.000002025806,0.000008165766,0.000006858346,0.0005533497],"genre_scores_gemma":[0.0005251472,0.9943862,0.0003565745,0.002131835,0.002176838,0.000008527074,0.00001408967,0.000002882028,0.0003979505],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004694251,"threshold_uncertainty_score":0.01861787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05864643554015563,"score_gpt":0.4213902138314258,"score_spread":0.3627437782912701,"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."}}