{"id":"W2042728992","doi":"10.1021/bi0353070","title":"Nuclear Magnetic Resonance-Based Dissection of a Glycosyltransferase Specificity for the Mucin MUC1 Tandem Repeat","year":2003,"lang":"en","type":"article","venue":"Biochemistry","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Tandem repeat; MUC1; Glycosylation; Chemistry; Biochemistry; Recombinant DNA; Mucin; Glycoprotein; Nuclear magnetic resonance spectroscopy; Stereochemistry; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003092129,0.0001556549,0.0001307163,0.00002450851,0.0001574393,0.0000244926,0.0002075015,0.0001834104,0.0002231145],"category_scores_gemma":[0.0004049506,0.0001265495,0.0001646411,0.0001448295,0.000147352,0.000002416165,0.00002021776,0.0001086627,0.000004192681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002588535,"about_ca_system_score_gemma":0.0001343103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001441266,"about_ca_topic_score_gemma":0.00001308071,"domain_scores_codex":[0.9988727,0.00005134151,0.0002438836,0.0003693325,0.0002088228,0.0002539171],"domain_scores_gemma":[0.9990904,0.0000480991,0.00005657194,0.0005505494,0.000171228,0.00008311043],"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":[0.0004432565,0.0001086571,0.0005874668,0.00006388815,0.00001303927,0.000001503831,0.0000125988,0.00002287279,0.9936025,0.0001315184,0.002072364,0.002940333],"study_design_scores_gemma":[0.0009673226,0.0002364761,0.0006140302,0.00001823669,0.00001342908,0.00001024672,0.00008087135,0.0003513006,0.9018709,0.00003183011,0.09566469,0.0001406861],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900436,0.003372571,0.003545464,0.0002372965,0.00009760141,0.0005778979,0.00007252579,0.00001884815,0.002034142],"genre_scores_gemma":[0.9974252,0.0001469184,0.0005908849,0.00008838416,0.0001229669,0.00006750094,0.00006463665,0.00002773235,0.0014658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09359232,"threshold_uncertainty_score":0.516054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01322544855624342,"score_gpt":0.2517187610204107,"score_spread":0.2384933124641673,"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."}}