{"id":"W2741716918","doi":"10.1021/acs.analchem.7b02224","title":"Deep Metaproteomics Approach for the Study of Human Microbiomes","year":2017,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; Children's Hospital of Eastern Ontario; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Crohn's and Colitis Canada; Ministry of Science and Technology of the People's Republic of China; Canada Research Chairs; Canadian Institutes of Health Research; Genome Canada; Children's Hospital of Eastern Ontario Foundation; National Natural Science Foundation of China; Ontario Ministry of Economic Development and Innovation; Faculty of Medicine, University of Ottawa; Ontario Genomics Institute","keywords":"Chemistry; Metaproteomics; Microbiome; Computational biology; Metagenomics; Biochemistry; Bioinformatics; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.0002085369,0.0001262509,0.0001961241,0.000007610684,0.0003998808,0.00004360352,0.0005733867,0.0001266955,0.00001493527],"category_scores_gemma":[0.00009137416,0.00009085408,0.0001348915,0.00002204388,0.0001947609,0.000002128193,0.0001724073,0.00009237052,7.470031e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008616498,"about_ca_system_score_gemma":0.00003720378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004416161,"about_ca_topic_score_gemma":0.00001416721,"domain_scores_codex":[0.9992059,0.00001103219,0.0002177573,0.0002923733,0.00006493993,0.0002080166],"domain_scores_gemma":[0.998799,0.00001380563,0.000151046,0.000890325,0.00008652508,0.00005935714],"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":[0.00003775981,0.0003421154,0.002302367,0.00009752123,0.0001892479,3.69219e-7,0.00003688304,0.00001400785,0.9959661,0.00003041398,0.0008376326,0.0001455967],"study_design_scores_gemma":[0.002302031,0.0004311141,0.01232029,0.00000871007,0.0004056147,0.00001209836,0.001145159,0.0018205,0.9772695,0.00005968968,0.00387551,0.000349758],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951876,0.0001658785,0.002215413,0.0001126783,0.00002125858,0.0004104369,0.00001525041,0.000004298373,0.001867116],"genre_scores_gemma":[0.9978291,0.00001410291,0.0005750657,0.00004855918,0.0001727585,0.00003379541,0.00006532243,0.0000151676,0.001246118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01869656,"threshold_uncertainty_score":0.3704922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03125844899991728,"score_gpt":0.327073476151966,"score_spread":0.2958150271520487,"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."}}