{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000148707,0.0004886551,0.0004301261,0.0005905674,0.0001492802,0.0005736743,0.0001839271,0.0004172044,0.0004968949],"category_scores_gemma":[0.0004283301,0.0001260629,0.0006344211,0.0008190555,0.0001496548,0.0001938417,0.0002841736,0.0003189602,0.0005348588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000111585,"about_ca_system_score_gemma":0.0002004564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001652838,"about_ca_topic_score_gemma":0.0007120717,"domain_scores_codex":[0.9998214,0.00002268378,0.00002276991,0.00005364462,0.00004403706,0.00003564065],"domain_scores_gemma":[0.9997569,0.00003319056,0.00004932578,0.00001744253,0.0000966972,0.0000464637],"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":[0.0001370215,0.00003742796,0.006297394,0.0001613351,0.00002107388,0.0004005985,0.0001040177,0.00006959712,0.9879303,0.00002642622,0.00009524282,0.004719639],"study_design_scores_gemma":[0.00002708509,0.0007759506,0.1991094,0.0001327137,0.0002816838,0.007253035,0.001356605,0.003003925,0.7749173,0.0001862017,0.01290595,0.00005005188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893522,0.002423502,0.003805504,0.0002031585,0.00004981734,0.00007558134,0.00326707,0.0000686898,0.0007545469],"genre_scores_gemma":[0.9818441,0.001299057,0.008181463,0.0001322758,0.00003029674,0.00003836619,0.007292807,0.00003962312,0.001142005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001652838,"threshold_uncertainty_score":0.003286421,"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."}}