{"id":"W3021485996","doi":"10.1101/2020.05.11.086124","title":"Characterization of an α-glucosidase enzyme conserved in <i>Gardnerella</i> spp. isolated from the human vaginal microbiome","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Enzyme Production and Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Lethbridge; University of Saskatchewan","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; University of Saskatchewan","keywords":"Biology; Microbiology; Glycoside hydrolase; Gardnerella vaginalis; Microbiome; Dysbiosis; Metagenomics; Bacteria; Phylogenetic tree; Enzyme; Biochemistry; Genetics; Bacterial vaginosis; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002813745,0.0004062841,0.0003959354,0.00009077324,0.00009793554,0.0001077566,0.0005362712,0.0005045572,0.00003471547],"category_scores_gemma":[0.00007421024,0.0004028514,0.0000933153,0.0003044851,0.0001290317,0.00001879832,0.0003349785,0.0004380129,0.00001442265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004444577,"about_ca_system_score_gemma":0.0002499944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001140541,"about_ca_topic_score_gemma":0.00001707505,"domain_scores_codex":[0.9976837,0.0003080376,0.0006236574,0.0009392148,0.0001714839,0.0002738799],"domain_scores_gemma":[0.9979476,0.000009291901,0.0005639503,0.001032828,0.0003121113,0.0001341675],"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":[0.0001310266,0.0001562352,0.003133991,0.00007299797,0.00008415984,0.000007251549,0.00001905932,0.00001010187,0.9962155,0.00002196205,0.0001470777,6.825597e-7],"study_design_scores_gemma":[0.0006130525,0.0000989793,0.08452276,0.00009789879,0.00005449284,2.868812e-8,0.000003379745,0.0001038963,0.910469,0.000001448154,0.003641553,0.000393488],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962323,0.0002998775,0.0008113902,0.0006034492,0.0005966242,0.0005465235,0.0008394562,0.00006813215,0.000002234857],"genre_scores_gemma":[0.9977414,0.000170188,0.000259648,0.0006882889,0.0007994908,0.00005736341,0.0001876056,0.00009067525,0.000005338772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08574644,"threshold_uncertainty_score":0.9998423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217993422987535,"score_gpt":0.2167107949956258,"score_spread":0.2045308607657505,"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."}}