{"id":"W4308391438","doi":"10.1101/2022.11.04.515081","title":"Alterations in intestinal Proteobacteria and antimicrobial resistance gene burden in individuals administered microbial ecosystem therapeutic (MET-2) for recurrent <i>Clostridioides difficile</i> infection","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Clostridium difficile and Clostridium perfringens research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; University of Guelph; Toronto General Hospital; University of Toronto; University Health Network","funders":"University of Toronto","keywords":"Obligate anaerobe; Microbiology; Proteobacteria; Firmicutes; Biology; Clostridium difficile; Metagenomics; Clostridioides; Butyrate; Antimicrobial; Bacteria; Antibiotics; Food science; Gene; Genetics; Fermentation; 16S ribosomal RNA","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":[0.000286264,0.0001848256,0.0004091476,0.0001820471,0.0002020732,0.0002769481,0.0001091719,0.0003066606,0.0009073055],"category_scores_gemma":[0.0005411895,0.000122751,0.000323504,0.0001585239,0.0001181417,0.0001888365,0.0001671769,0.000395167,0.0001123767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002594569,"about_ca_system_score_gemma":0.0001865587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006770464,"about_ca_topic_score_gemma":0.001201941,"domain_scores_codex":[0.9998324,0.00004176555,0.00001446454,0.00004180165,0.00002729333,0.00004225356],"domain_scores_gemma":[0.9996299,0.00003990125,0.0001554063,0.00001646197,0.00003889955,0.0001194681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03137653,0.003679927,0.7430117,0.0002300787,0.0004471409,0.0006928855,0.0003758314,0.0003367082,0.1882976,0.00004820586,0.0006373386,0.03086608],"study_design_scores_gemma":[0.0001459375,0.02060845,0.9708603,0.00002058358,0.0001542949,0.0005197048,0.000254941,0.0003903253,0.006496265,0.00002587251,0.0005098694,0.0000134789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996864,0.00009666973,0.00004352395,0.00001800936,0.000002853762,0.00000749027,0.00005073778,0.000002486687,0.00009190089],"genre_scores_gemma":[0.9994424,0.00003595173,0.0001579008,0.00004535441,0.000004266806,0.00001479772,0.00009753344,0.000001376158,0.0002003678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009073055,"threshold_uncertainty_score":0.003035247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02785870701091938,"score_gpt":0.2757071847751127,"score_spread":0.2478484777641933,"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."}}