{"id":"W2953493704","doi":"10.1074/mcp.ra119.001623","title":"Associations of the Fecal Microbial Proteome Composition and Proneness to Diet-induced Obesity","year":2019,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Crohn's and Colitis Foundation","keywords":"Obesity; Gut flora; Feces; Biology; Microbiome; Cohort; Composition (language); Physiology; Proteome; Endocrinology; Internal medicine; Immunology; Medicine; Genetics; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004861791,0.0004817032,0.0004760088,0.0008970756,0.0004695665,0.0007852677,0.000187839,0.0004053048,0.004793326],"category_scores_gemma":[0.0004974868,0.0002344913,0.000503295,0.0003411958,0.0002870401,0.0003158161,0.0006897111,0.0009522417,0.000381766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001225015,"about_ca_system_score_gemma":0.0001737889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008751753,"about_ca_topic_score_gemma":0.002012971,"domain_scores_codex":[0.9997223,0.00004000568,0.0000253747,0.00009565834,0.00005860239,0.00005799051],"domain_scores_gemma":[0.9994196,0.00004999187,0.0001932931,0.00008025147,0.00004172689,0.0002152072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003275847,0.0004372494,0.7353693,0.00007805034,0.0005814983,0.0004305602,0.0001951321,0.00007782223,0.2490274,0.0001846531,0.0004076207,0.009934815],"study_design_scores_gemma":[0.00001235342,0.0004154691,0.9922914,0.000008832479,0.00009103075,0.0005487773,0.0001303444,0.0001564267,0.005410616,0.0001023937,0.0008260762,0.000006403668],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973451,0.0002441444,0.0008884636,0.00005432936,0.00002136552,0.00001509084,0.0008716536,0.00002518083,0.0005347162],"genre_scores_gemma":[0.9954828,0.0001233286,0.0009554318,0.0001205318,0.0000134216,0.00002702591,0.0008843251,0.00001820851,0.002374916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004793326,"threshold_uncertainty_score":0.01603526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007846083174227891,"score_gpt":0.2272307013222737,"score_spread":0.2193846181480458,"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."}}