{"id":"W4309245555","doi":"10.1128/aem.01755-22","title":"Human Gut Metagenomes Encode Diverse GH156 Sialidases","year":2022,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research; W. Garfield Weston Foundation; Government of Canada","keywords":"Sialidase; Glycan; Biology; Microbiome; Human microbiome; Sialic acid; Metagenomics; Receptor; Computational biology; Immune system; Enzyme; Biochemistry; Microbiology; Glycoprotein; Neuraminidase; Genetics; 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":[0.0001339361,0.0004197841,0.0003728002,0.0005449345,0.0002658349,0.0004938234,0.00009011276,0.0002965143,0.001725793],"category_scores_gemma":[0.0003694112,0.0001540312,0.0005171236,0.0007751229,0.0001558248,0.0001553539,0.000411541,0.0002540239,0.0005302365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001294479,"about_ca_system_score_gemma":0.00027611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002682708,"about_ca_topic_score_gemma":0.002890113,"domain_scores_codex":[0.9998469,0.00001890031,0.00001311921,0.00004760983,0.00003814006,0.00003527261],"domain_scores_gemma":[0.999866,0.00002498952,0.00003250798,0.0000172336,0.00003099047,0.00002822215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008129267,0.00004446457,0.1047957,0.0002486543,0.0001415274,0.0003251169,0.0003772661,0.0003214867,0.869096,0.0001951818,0.0002951301,0.02334662],"study_design_scores_gemma":[0.00003556422,0.0005547135,0.842559,0.0001056717,0.0003126929,0.002861101,0.001420341,0.001697337,0.1338123,0.000593688,0.01599991,0.00004766618],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889539,0.001588824,0.001988245,0.00009263677,0.00002000246,0.00002768081,0.005629483,0.00004698047,0.00165213],"genre_scores_gemma":[0.9874966,0.001028655,0.004378165,0.0000953764,0.00001342814,0.00001903833,0.005568734,0.00002351259,0.001376541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002682708,"threshold_uncertainty_score":0.005773365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006921087016956624,"score_gpt":0.2065119654815668,"score_spread":0.1995908784646102,"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."}}