{"id":"W4249991329","doi":"10.1002/chin.200112259","title":"ChemInform Abstract: Enzymatic Glycosylations with Non‐Natural Donors and Acceptors","year":2001,"lang":"en","type":"article","venue":"ChemInform","topic":"Carbohydrate Chemistry and Synthesis","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Chemistry; Natural (archaeology); Service (business); Combinatorial chemistry; Information retrieval; Computer science; Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003694864,0.0009548394,0.0003529078,0.000397782,0.0003065586,0.0009047212,0.0004670321,0.0002889057,0.01771567],"category_scores_gemma":[0.0002714218,0.0002789055,0.0003396539,0.0006831051,0.0002293015,0.0007244138,0.0004050711,0.0009421378,0.009412305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005840044,"about_ca_system_score_gemma":0.000555359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004865206,"about_ca_topic_score_gemma":0.0006126501,"domain_scores_codex":[0.9998676,0.00002224555,0.00001080124,0.00002107794,0.00005372543,0.00002445604],"domain_scores_gemma":[0.9999405,0.00001121036,0.000009742113,0.00001282302,0.000009969918,0.00001562407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001420353,0.0001912103,0.000430775,0.0009987155,0.0000693707,0.0006197031,0.0001001349,0.002029242,0.7667603,0.03321885,0.06176668,0.1323947],"study_design_scores_gemma":[0.00009579516,0.0002019803,0.0006397404,0.00004343863,0.00004601648,0.0006477218,0.00002345921,0.001174582,0.7147008,0.002788822,0.2796067,0.00003096037],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3259567,0.05441876,0.2202237,0.004010695,0.007299766,0.0006516712,0.03152546,0.01181339,0.3441],"genre_scores_gemma":[0.5878112,0.04798932,0.07331907,0.0007164761,0.0005321444,0.0002043886,0.04155811,0.001649188,0.2462202],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01771567,"threshold_uncertainty_score":0.05926478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00898800902853568,"score_gpt":0.2126378794728941,"score_spread":0.2036498704443584,"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."}}