{"id":"W1980480701","doi":"10.1139/v02-131","title":"A strategy for the one-pot synthesis of sialylated oligosaccharides","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Chemistry","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Chemistry; Sialic acid; Glycosylation; Reactivity (psychology); Glycosyl; Yield (engineering); Glycan; Carbohydrate synthesis; Glycosyl donor; One-pot synthesis; Galactose; Combinatorial chemistry; N-Acetylneuraminic acid; Sugar; Biochemistry; Organic chemistry; Carbohydrate; Stereochemistry; Glycoprotein; Catalysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002544633,0.0006928585,0.0004615957,0.0002950437,0.0002428406,0.0002762393,0.0005211189,0.0004629037,0.001367278],"category_scores_gemma":[0.0002068768,0.0002433287,0.0003193713,0.000228784,0.0002766388,0.000547782,0.0004865326,0.001268802,0.0007860999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003163,"about_ca_system_score_gemma":0.0004827186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000215319,"about_ca_topic_score_gemma":0.0003513687,"domain_scores_codex":[0.9998232,0.00002802013,0.0000172497,0.00003750716,0.00006147723,0.00003261744],"domain_scores_gemma":[0.9999082,0.00001798322,0.00002127141,0.00001774756,0.00001242512,0.00002239192],"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":[0.00004695074,0.00005223901,0.00005674175,0.0001941261,0.00001356719,0.0001406004,0.00005414274,0.0003241181,0.9836745,0.001696924,0.0001813306,0.01356471],"study_design_scores_gemma":[0.00002549636,0.0002850797,0.0002710652,0.00000980173,0.00001894938,0.000670621,0.00001353755,0.0007551727,0.9862574,0.0005381573,0.01112842,0.00002637742],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4324044,0.008932012,0.5421008,0.0007428299,0.000448921,0.001146212,0.0009260833,0.00107526,0.01222349],"genre_scores_gemma":[0.7457641,0.009036697,0.2295187,0.0003208129,0.00005237975,0.0007454671,0.00096133,0.0001445618,0.01345594],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001367278,"threshold_uncertainty_score":0.004574001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03451523164779881,"score_gpt":0.2560695379410157,"score_spread":0.2215543062932169,"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."}}