{"id":"W2510962849","doi":"10.1128/msphere.00199-16","title":"Extreme Dysbiosis of the Microbiome in Critical Illness","year":2016,"lang":"en","type":"article","venue":"mSphere","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":422,"is_retracted":false,"has_abstract":true,"ca_institutions":"Southlake Regional Health Center; Kingston General Hospital; Clinical Evaluation Research Unit; Queen's University","funders":"","keywords":"Dysbiosis; Microbiome; Medicine; Intensive care medicine; Critical illness; Sepsis; Disease; Critically ill; Immunology; Bioinformatics; Internal medicine; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000791963,0.00007210531,0.00008915207,0.00001003784,0.00003198622,0.000003474404,0.0001711595,0.0001038608,0.0001543721],"category_scores_gemma":[0.00006072049,0.00004034138,0.00005587353,0.00007227113,0.0001268769,0.000001552875,0.00008914132,0.00003638502,0.00001507926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001301983,"about_ca_system_score_gemma":0.00005679952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003367685,"about_ca_topic_score_gemma":0.0002382371,"domain_scores_codex":[0.9994227,0.00004697901,0.0001445054,0.0001665309,0.00003931094,0.0001800054],"domain_scores_gemma":[0.9996195,0.00001344665,0.00002841105,0.0002726589,0.00003548977,0.00003044198],"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":[0.0000161517,0.00003976405,0.01178022,0.00002507357,0.000004117192,5.897295e-7,0.0000227468,1.203796e-7,0.9829121,0.0001799681,0.002903929,0.00211526],"study_design_scores_gemma":[0.0005513736,0.00006576256,0.06023762,0.0001045941,0.000005939239,0.00001226188,0.00006795236,4.913222e-7,0.8803942,0.0001263636,0.05829583,0.0001376476],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963434,0.0004531479,0.0001105504,0.001941349,0.0001626666,0.00008277018,0.00003311617,0.000003156182,0.0008698619],"genre_scores_gemma":[0.9984148,0.00005206663,0.0001478715,0.0002646216,0.00004755803,0.000004119298,0.000002626992,0.000009331118,0.001056993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1025179,"threshold_uncertainty_score":0.1690266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01815392225488953,"score_gpt":0.2764949230130806,"score_spread":0.2583410007581911,"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."}}