{"id":"W4283757618","doi":"10.1101/2022.06.28.497753","title":"Human gut metagenomes encode diverse GH156 sialidases","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research; W. Garfield Weston Foundation","keywords":"Sialidase; Metagenomics; Biology; Microbiome; Sialic acid; Glycan; Homology (biology); Gene; Genetics; Glycoside hydrolase; Microbiology; Computational biology; Glycoprotein; Neuraminidase; Virus","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":[0.0001915631,0.0004983598,0.0005411524,0.0005710392,0.0003062629,0.000493363,0.0001314093,0.0003745511,0.001624747],"category_scores_gemma":[0.0004500032,0.0002021611,0.0009293433,0.0009773909,0.000119699,0.000194225,0.0004316206,0.0003082781,0.0005870151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001801257,"about_ca_system_score_gemma":0.0003107314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004116409,"about_ca_topic_score_gemma":0.002750685,"domain_scores_codex":[0.9998149,0.00001788433,0.00001849785,0.00006845743,0.00003918819,0.00004101694],"domain_scores_gemma":[0.9998602,0.00003357365,0.00003021777,0.00001491445,0.00003359966,0.00002741684],"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":[0.001463947,0.0001189977,0.146082,0.0007718034,0.0003765403,0.0006581369,0.0004902864,0.001626939,0.8175262,0.0001942316,0.001125103,0.02956574],"study_design_scores_gemma":[0.00008532995,0.000847895,0.8515421,0.0002173187,0.0006353441,0.003182132,0.001482923,0.0137476,0.1150947,0.0005607483,0.01251481,0.00008916834],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805298,0.001757785,0.001900068,0.00008570276,0.00002286134,0.00005146064,0.01477911,0.0001013536,0.0007718595],"genre_scores_gemma":[0.974466,0.0008844383,0.005303149,0.00008376796,0.00001397755,0.00004233938,0.01829081,0.00003134293,0.0008840959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004116409,"threshold_uncertainty_score":0.00818491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01962929428627412,"score_gpt":0.2586643397243765,"score_spread":0.2390350454381023,"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."}}