{"id":"W2413753500","doi":"10.1021/acs.analchem.6b01412","title":"<i>In Vitro</i> Metabolic Labeling of Intestinal Microbiota for Quantitative Metaproteomics","year":2016,"lang":"en","type":"letter","venue":"Analytical Chemistry","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Crohn's and Colitis Canada; Canada Research Chairs; Faculty of Medicine, University of Ottawa; Ontario Genomics Institute; CHEO Research Institute; Ontario Ministry of Economic Development and Innovation; Institute of Infection and Immunity; Canadian Institutes of Health Research; Genome Canada","keywords":"Chemistry; Metaproteomics; In vitro; Chromatography; Biochemistry; Food science; Computational biology; Metagenomics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002693829,0.0003885568,0.0007299068,0.00006092239,0.000036671,0.00001626152,0.0004191023,0.001011337,0.00004859968],"category_scores_gemma":[0.0003200357,0.0003373022,0.0004062985,0.0001188888,0.0002274209,0.000003859209,0.0001346811,0.0006433321,0.000009613434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004189929,"about_ca_system_score_gemma":0.0003275629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002702346,"about_ca_topic_score_gemma":0.000003068785,"domain_scores_codex":[0.9978969,0.00004229819,0.0006323439,0.0006996702,0.0001232567,0.0006055298],"domain_scores_gemma":[0.9987568,0.0001189671,0.0002980922,0.0005031081,0.0002438244,0.00007923424],"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":[0.0001481306,0.00003122993,0.00001147574,0.0005211452,0.0001648497,0.0000108275,0.000004494425,4.824341e-7,0.8156468,0.00001841539,0.1833965,0.00004569468],"study_design_scores_gemma":[0.0005212897,0.00004887593,0.000002516,0.00008763059,0.0001470981,0.00001992049,0.00000641772,0.00002388317,0.6372311,0.00007427264,0.3615705,0.0002665599],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1812524,0.01333714,0.01130707,0.7749506,0.001022798,0.003600273,0.008658189,0.00008105407,0.005790455],"genre_scores_gemma":[0.03147149,0.002580069,0.1192117,0.7521214,0.01938444,0.0004074038,0.01440645,0.0008860384,0.059531],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1784157,"threshold_uncertainty_score":0.9999079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02026251345219479,"score_gpt":0.2984569909798928,"score_spread":0.278194477527698,"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."}}