{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001494952,0.0009738522,0.001266665,0.002375507,0.0005550242,0.001279302,0.000819458,0.0007230882,0.001345375],"category_scores_gemma":[0.001222078,0.0005410544,0.001416016,0.001734669,0.0003393877,0.001089225,0.001856471,0.00189518,0.0005192244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005069108,"about_ca_system_score_gemma":0.0008673597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001192085,"about_ca_topic_score_gemma":0.001860652,"domain_scores_codex":[0.9993989,0.0002073779,0.00003105213,0.0001492073,0.0001567436,0.00005657346],"domain_scores_gemma":[0.9996994,0.00008344336,0.00004743992,0.00006517238,0.00006081173,0.00004384765],"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":[0.000599614,0.0003601362,0.02020236,0.001069661,0.001835748,0.0003925096,0.0004818079,0.02413254,0.7885564,0.01121259,0.001925125,0.1492314],"study_design_scores_gemma":[0.00009676764,0.0007805261,0.06449079,0.0002032247,0.0009271359,0.001189669,0.0008281321,0.5963656,0.2257538,0.06636519,0.0427249,0.0002743736],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1136248,0.009791541,0.8670322,0.0007302391,0.0002032554,0.0003407151,0.003959339,0.001620358,0.002697571],"genre_scores_gemma":[0.334234,0.004496892,0.6557927,0.0004464985,0.00008819051,0.0005006639,0.003095979,0.0002729434,0.001072163],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002375507,"threshold_uncertainty_score":0.007906199,"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."}}