{"id":"W2603194836","doi":"10.1038/nchembio.2358","title":"Structural and functional insight into human O-GlcNAcase","year":2017,"lang":"en","type":"article","venue":"Nature Chemical Biology","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":99,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Biotechnology and Biological Sciences Research Council; Canadian Institutes of Health Research; Directorate for Biological Sciences; Genome British Columbia; Michael Smith Health Research BC; Diamond Light Source; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Fondation Brain Canada","keywords":"Hydrolase; Dimer; Enzyme; Structural biology; Transferase; Blueprint; Chemistry; Protein structure; Biochemistry; Biology; Cell biology; Stereochemistry; Computational biology","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":[],"consensus_categories":[],"category_scores_codex":[0.00007776585,0.0001238478,0.0001157064,0.00003079731,0.0003286621,0.00004405806,0.0002140572,0.0006683721,0.0001029809],"category_scores_gemma":[0.0003686295,0.00009954496,0.00004771723,0.00002056721,0.0003771658,0.000005071242,0.0003141231,0.0004046318,0.00000891129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001075056,"about_ca_system_score_gemma":0.00002746278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002343393,"about_ca_topic_score_gemma":0.00002692253,"domain_scores_codex":[0.9992178,0.00002791305,0.000111682,0.0003679777,0.00007764302,0.0001969493],"domain_scores_gemma":[0.9993462,0.00001043278,0.00005928923,0.0003795016,0.000093407,0.0001111625],"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":[0.00007903271,0.00000901556,0.007856697,0.000007674551,0.00001969978,0.000002982677,0.000007506973,1.029214e-7,0.9847982,0.003046026,0.000725237,0.003447847],"study_design_scores_gemma":[0.000887937,0.0001260474,0.02258155,0.000004005592,0.000005297533,0.00004357714,0.000004620874,0.00002088462,0.8750499,0.002042536,0.09904107,0.0001925517],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953797,0.0008392148,0.00002611088,0.0008165046,0.0001400932,0.00009934434,0.00001146108,0.000009714023,0.002677871],"genre_scores_gemma":[0.998078,0.00002829834,0.0002591448,0.0003597331,0.0004649071,0.00001122032,0.0003447639,0.000009527264,0.0004443743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1097483,"threshold_uncertainty_score":0.5155097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01512965195910326,"score_gpt":0.3217142540653631,"score_spread":0.3065846021062598,"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."}}