{"id":"W4225815647","doi":"10.1080/19490976.2022.2035658","title":"Evaluating live microbiota biobanking using an <i>ex vivo</i> microbiome assay and metaproteomics","year":2022,"lang":"en","type":"article","venue":"Gut Microbes","topic":"Clostridium difficile and Clostridium perfringens research","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Economic Development and Innovation","keywords":"Biology; Microbiome; Metaproteomics; Prebiotic; Biobank; Feces; Fecal bacteriotherapy; Gut flora; Ex vivo; Glycerol; Microbiology; Metagenomics; In vivo; Food science; Biotechnology; Immunology; Bioinformatics; Biochemistry","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":[0.0006547425,0.0009963993,0.0004810321,0.0005075478,0.0003627074,0.0006471953,0.0002848705,0.0005086368,0.001068586],"category_scores_gemma":[0.0004642418,0.0001708826,0.0005054344,0.0004914089,0.0002925874,0.0006248737,0.0005902948,0.0005607361,0.0003721341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002063656,"about_ca_system_score_gemma":0.0003531661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004821104,"about_ca_topic_score_gemma":0.001169448,"domain_scores_codex":[0.9994655,0.0001248784,0.0000483474,0.0001441649,0.0001503277,0.00006669083],"domain_scores_gemma":[0.9996942,0.00004714247,0.0001106169,0.00004206006,0.00006130796,0.0000447392],"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":[0.00008496903,0.00004568749,0.001290976,0.00003900757,0.0000115635,0.00001596378,0.0000181326,0.00005406387,0.9966998,0.00002239942,0.0000192478,0.001698231],"study_design_scores_gemma":[0.000007320749,0.0009414899,0.02595601,0.00002571037,0.00007893315,0.0002614534,0.0001059694,0.001020139,0.9697481,0.00009837603,0.001735086,0.0000214684],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9420967,0.00242576,0.04898559,0.000213068,0.0001118569,0.0003384912,0.003263886,0.0002279971,0.002336708],"genre_scores_gemma":[0.9128368,0.002542343,0.07532505,0.0003341926,0.00006042672,0.0005500722,0.005443374,0.0001138799,0.002793769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001068586,"threshold_uncertainty_score":0.003574789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08740359754432715,"score_gpt":0.364784160925703,"score_spread":0.2773805633813759,"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."}}