{"id":"W1523041017","doi":"10.1016/s0076-6879(03)01008-5","title":"Preparative-Scale Chemoenzymatic Synthesis of Large Carbohydrate Assemblies Using α(1→4)-Galactosyltransferase⧸UDP-4′-Gal-Epimerase Fusion Protein","year":2003,"lang":"en","type":"article","venue":"Methods in enzymology on CD-ROM/Methods in enzymology","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Galactosyltransferase; Biochemistry; Enzyme; Nucleotide sugar; Glycosyltransferase; Fusion protein; Oligosaccharide; Chemistry; Recombinant DNA; Glycosylation; Nucleotide; Protein engineering; Compartmentalization (fire protection); Directed evolution; 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":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01192962,0.0008347394,0.001728625,0.001296358,0.0002089368,0.00003164036,0.0007813165,0.001513656,0.0004643465],"category_scores_gemma":[0.008356362,0.0008341791,0.0003652649,0.001406811,0.0007323435,0.00003571667,0.0002973083,0.001202269,0.00001522755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002071451,"about_ca_system_score_gemma":0.0004555378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00030533,"about_ca_topic_score_gemma":0.0009865483,"domain_scores_codex":[0.9750132,0.01948702,0.001824845,0.001683432,0.000435082,0.001556444],"domain_scores_gemma":[0.9955274,0.001906715,0.0005296993,0.00147586,0.0002947001,0.000265628],"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":[0.000806132,0.00108473,0.004546316,0.0001901557,0.0001193624,0.00007548614,0.0004516148,0.0009222322,0.984603,0.00192958,0.00005367335,0.005217682],"study_design_scores_gemma":[0.002293995,0.001026848,0.008259998,0.0001631912,0.00005323014,0.0001268092,0.00038029,0.001035175,0.9804929,0.002914077,0.002497108,0.0007563254],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.862422,0.0007659074,0.1312184,0.0001375115,0.0004392607,0.001661271,0.00004405496,0.00004240852,0.003269158],"genre_scores_gemma":[0.5265555,0.0000948659,0.4722193,0.0001822825,0.00005775167,0.0004630054,0.00002813217,0.00008675555,0.0003123064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3410009,"threshold_uncertainty_score":0.9999967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04191631112353934,"score_gpt":0.4169106928233315,"score_spread":0.3749943816997922,"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."}}