{"id":"W2175093233","doi":"10.1038/ismej.2008.108","title":"Shotgun metaproteomics of the human distal gut microbiota","year":2008,"lang":"en","type":"article","venue":"The ISME Journal","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":542,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Ste. Anne's Hospital","funders":"Oak Ridge National Laboratory; National Institutes of Health; Universitetssjukhuset Örebro; U.S. Department of Energy; Örebro Universitet; Arnold and Mabel Beckman Initiative for Macular Research; UT-Battelle; Lawrence Berkeley National Laboratory; National Institute of General Medical Sciences; Battelle","keywords":"Metaproteomics; Metagenomics; Biology; Proteome; Computational biology; Shotgun proteomics; Microbiome; Human microbiome; Proteomics; Gut flora; Shotgun; Shotgun sequencing; Gene; Microbiology; Genetics; DNA sequencing; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002384257,0.0001051115,0.0001253552,0.00001688868,0.0005249744,0.00001479402,0.0004657126,0.00008213902,0.00008551066],"category_scores_gemma":[0.00002101215,0.00005603551,0.0001851723,0.00005889175,0.0001864174,0.000002421256,0.0001393035,0.0002738567,0.000006859302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001570712,"about_ca_system_score_gemma":0.0001517457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001521045,"about_ca_topic_score_gemma":0.00002085715,"domain_scores_codex":[0.9992388,0.0001018676,0.0002505806,0.0001064519,0.00009545533,0.0002068442],"domain_scores_gemma":[0.9993297,0.000005647863,0.0002005024,0.0003436215,0.00006883671,0.00005162427],"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":[0.00001247722,0.00003238325,0.0008702822,0.00000595431,0.00003931762,0.000001380115,0.0001369425,0.00001107028,0.9804129,0.00003482641,0.01839111,0.00005133716],"study_design_scores_gemma":[0.0008958047,0.000217633,0.1108661,0.00004232508,0.00006362773,0.0028307,0.0001362589,0.000005172536,0.8146891,0.0002511674,0.06978074,0.0002213411],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974535,0.0004258953,0.00008109488,0.001177982,0.0001754738,0.0001208777,0.00004113092,0.000002275918,0.0005217506],"genre_scores_gemma":[0.9973277,0.0001721852,0.0002081612,0.0005311273,0.0003336133,0.000001313142,0.00001383773,0.00001417667,0.001397884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1657238,"threshold_uncertainty_score":0.4037732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01642312010991245,"score_gpt":0.2488616806131845,"score_spread":0.232438560503272,"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."}}